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Search results “Interpretation of clinical data”
How to interpret clinical trial data – Examples from recent clinical trials
 
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Presented by S. Wassmann This is a webcast of the ESC Working Group on Cardiovascular Pharmacotherapy “All About Clinical Trials” course recorded during December 2017 live course in Vienna. The course aims at improving the professional knowledge and skills required to plan and deliver successful cardiovascular pharmacotherapy clinical trials.
Evidence Based Clinical Practice - Bias and data interpretation
 
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This channel is designed to assist students undertaking the Year 4C MBBS Evidence Based Clinical Practice (EBCP) program.
Views: 518 Year4EBCP
Clinical Research Statistics for Non-Statisticians
 
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Through real-world examples, webinar participants learn strategies for choosing appropriate outcome measures, methods for analysis and randomization, and sample sizes as well as tips for collecting the right data to answer your scientific questions.
Views: 8741 RhoInc1984
Interpreting meta-analyses and clinical trials: can we believe the data? - G. Savarese
 
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This presentation focuses on important study design/statistical issues that needs to be considered for the interpretation of randomized controlled trials and meta-analyses results.
How to Interpret and Use a Relative Risk and an Odds Ratio
 
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RR and OR are commonly used measures of association in observational studies. In this video I will discuss how to interpret them and how to apply them to patient care
Views: 205011 Terry Shaneyfelt
How to Interpret a Forest Plot
 
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This video will discuss how to interpret the information contained in a typical forest plot.
Views: 162190 Terry Shaneyfelt
Introduction to lab values and normal ranges | Health & Medicine | Khan Academy
 
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Find out how health professionals use short-hand for labs and the meaning of normal ranges. Rishi is a pediatric infectious disease physician and works at Khan Academy. Created by Rishi Desai. Watch the next lesson: https://www.khanacademy.org/science/health-and-medicine/lab-values/v/what-s-inside-of-blood?utm_source=YT&utm_medium=Desc&utm_campaign=healthandmedicine Missed the previous lesson? https://www.khanacademy.org/science/health-and-medicine/infectious-diseases/malaria/v/preventing-malaria?utm_source=YT&utm_medium=Desc&utm_campaign=healthandmedicine Health & Medicine on Khan Academy: No organ quite symbolizes love like the heart. One reason may be that your heart helps you live, by moving ~5 liters (1.3 gallons) of blood through almost 100,000 kilometers (62,000 miles) of blood vessels every single minute! It has to do this all day, everyday, without ever taking a vacation! Now that is true love. Learn about how the heart works, how blood flows through the heart, where the blood goes after it leaves the heart, and what your heart is doing when it makes the sound “Lub Dub.” About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy’s Health & Medicine channel: https://www.youtube.com/channel/UC1RAowgA3q8Gl7exSWJuDEw?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 367409 khanacademymedicine
Understanding Clinical Trials
 
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This animation explains what clinical trials are, how they are conducted, and why they are important for patients with diseases like pancreatic cancer. The animation also provides an overview of study design, eligibility criteria, informed consent, safeguards, different phases of clinical trials, and the potential benefits and potential risks of participation. You can find out more about clinical trials and pancreatic cancer at: http://www.AnimatedPancreasPatient.com
Views: 56828 ThePancreasPatient
EHR Data Sources in Clinical Research
 
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Lisa Wruck, PhD, sees great opportunities to innovate clinical trials through the usage of electronic health record (EHR) data. But there are also limitations inherent in those data sets. To learn more about how big data is transforming clinical research, visit our website: https://goo.gl/T5K2wM
What is CLINICAL CODER? What does CLINICAL CODER mean? CLINICAL CODER meaning & explanation
 
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What is CLINICAL CODER? What does CLINICAL CODER mean? CLINICAL CODER meaning -CLINICAL CODER definition - CLINICAL CODER explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A clinical coder – also known as clinical coding officer, diagnostic coder, medical coder or medical records technician – is a health care professional whose main duties are to analyse clinical statements and assign standard codes using a classification system. The data produced are an integral part of health information management, and are used by local and national governments, private healthcare organizations and international agencies for various purposes, including medical and health services research, epidemiological studies, health resource allocation, case mix management, public health programming, medical billing, and public education. For example, a clinical coder may use a set of published codes on medical diagnoses and procedures, such as the International Classification of Diseases (ICD) or the Common Coding System for Healthcare Procedures (HCPCS), for reporting to the health insurance provider of the recipient of the care. The use of standard codes allows insurance providers to map equivalencies across different service providers who may use different terminologies or abbreviations in their written claims forms, and be used to justify reimbursement of fees and expenses. The codes may cover topics related to diagnoses, procedures, pharmaceuticals or topography. The medical notes may also be divided into specialities for example cardiology, gastroenterology, nephrology, neurology or orthopedic care. A clinical coder therefore requires a good knowledge of medical terminology, anatomy and physiology, a basic knowledge of clinical procedures and diseases and injuries and other conditions, medical illustrations, clinical documentation (such as medical or surgical reports and patient charts), legal and ethical aspects of health information, health data standards, classification conventions, and computer- or paper-based data management, usually as obtained through formal education and/or on-the-job training.
Views: 867 The Audiopedia
Clinical Laboratory Tests: Which, Why, and What do the Results Mean?
 
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Dr. Alex Alexander; Week 2, FA2013 - Bastyr University Naturopathic Clinical Laboratory Diagnosis Portion of Lecture Course (Based on Article Referenced Below) Reference: Wians, F.H., (2009) Clinical Laboratory Tests:Which, Why, and What Do The Results Mean?, Lab Medicine, 40;2.
Views: 51385 5psnapod
Using Public Access Clinical Databases to Interpret NGS Variants
 
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In this webcast, Gabe Rudy, Vice President of Product Development, will showcase publicly available databases and resources available for interpreting rare and novel mutations in the context of his own personal exome obtained through a limited 23andMe pilot in 2012. The last couple years have seen many changes in well-established resources such as OMIM and dbSNP, while motivating new efforts such as ClinVar and PhenoDB to bring NGS interpretation to clinical grade through a global data sharing effort. In this webcast, Gabe will cover: •The changing landscape of public annotations: Then, Now, and Soon. •Will the new human reference (GRCh38) released in December be a game changer? •Specific examples of improvements in annotation and algorithms that result in more accurate analysis of his own exome. •The utility and progress of NGS to different clinical applications in terms of public resources: carrier screening, hereditary cancer risk, pharmacogenomics, oncology care, and genetic disorder diagnosis. •Sharing of new clinical data: How both variation and phenotype level data is currently being shared and what will be the way forward to match rare and undiagnosed cases at a global scale.
Views: 788 Golden Helix Inc.
Randomized Controlled Trials (RCTs)
 
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A randomized controlled trial (RCT) is an experimental form of impact evaluation in which the population receiving the programme or policy intervention is chosen at random from the eligible population, and a control group is also chosen at random from the same eligible population. It tests the extent to which specific, planned impacts are being achieved. The distinguishing feature of an RCT is the random assignment of units (e.g. people, schools, villages, etc.) to the intervention or control groups. One of its strengths is that it provides a very powerful response to questions of causality, helping evaluators and programme implementers to know that what is being achieved is as a result of the intervention and not anything else. This video summarizes the key features of an RCT. For details, please read Brief 7 at http://www.unicef-irc.org/KM/IE/
Views: 95407 UNICEF Innocenti
Systematic Reviews and Meta-Analyses - How to Interpret the Results
 
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In this video, I go over how to interpret the results of a meta-analysis.
Views: 43019 Tara Bishop MD
Know the Basics  Understanding Clinical Trials
 
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Learn how you can play a role in research through clinical trials. This program discusses informed consent, types of trials, and phases of a trial. This program was offered in partnership with ResearchMatch and the Crohn's and Colitis Foundation of America. Watch and fill out this survey: https://www.surveymonkey.com/r/webinar630
FADIC Clinical Trials Mini-Course Introduction
 
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Welcome to FADIC Clinical Trials Mini-Course Introduction, register now from this link: https://fadic.net/en/courses/interpretation-of-clinical-trials-en/
Views: 51 FADIC tube
Laboratory Values - Teaching Clinical Reasoning
 
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Instructors try to avoid making the topic of laboratory values a memorization fest. It is essential that nursing students look closely at all laboratory data and begin to ask 'So What?' They need to have practice incorporating laborartory values in to assessment and implementation activities.
Views: 108519 NurseTim Inc
Future of Clinical Data and Medical Device Regulation 2017/745
 
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For questions about this topic, please contact [email protected] This presentation provides an overview of the new requirements of Medical Device Regulation 2017/745 as well as of the MEDDEV 2.7/1 Rev. 4 regarding clinical evaluations. Sandra Bugler, M.Sc. provides insights into the conduction of a clinical evaluation. Learn about the: Interpretation of new requirements Structure of clinical evaluation reports Challenges regarding equivalent devices Clinical data for class III and implantable devices Post-Market Clinical Follow-up
Views: 919 NSF International
How GSK Uses Data Wrangling for Clinical Trial Data to Accelerate Drug Development
 
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Learn more about Data Wrangling solutions with Trifacta: https://www.trifacta.com/data-wrangling/ See how GSK uses Trifacta’s Data Wrangling solutions to accelerate drug development by putting clinical trial data into the hands of the business user. GSK gets data from hundreds of sources and needs a solution that can standardize that data to provide insights. Learn how data wrangling enables GSK to compare & transform disparate data for a stronger R&D process. Watch our video to learn more.
Views: 1510 Trifacta
Chest X-Ray Interpretation Explained Clearly - How to read a CXR
 
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Learn how to read a chest X Ray with a straightforward approach illustrated by Roger Seheult, MD of http://www.medcram.com. Understand the basics of how chest films are attained, the appearance of a normal chest Xray, visible anatomy on a chest x-ray, a systematic approach to reading chest X-Rays, and several examples of abnormal chest X-Ray findings including: pneumonia, atelectasis, pneumothorax, plural effusion, heart failure, and pulmonary edema. This is video 1 of 3 on chest X-Ray analysis, which includes the appearance of a normal CXR as well as background on how the chest Xray is attained. Videos 2 and 3 cover the interpretation of chest radiography, and abnormal chest x-rays. Speaker: Roger Seheult, MD Clinical and Exam Preparation Instructor Board Certified in Internal Medicine, Pulmonary Disease, Critical Care, and Sleep Medicine. MedCram: Medical topics explained clearly including: Asthma, COPD, Acute Renal Failure, Mechanical Ventilation, Oxygen Hemoglobin Dissociation Curve, Hypertension, Shock, Diabetic Ketoacidosis (DKA), Medical Acid Base, VQ Mismatch, Hyponatremia, Liver Function Tests, Pulmonary Function Tests (PFTs), Adrenal Gland, Pneumonia Treatment, any many others. New topics are often added weekly- please subscribe to help support MedCram and become notified when new videos have been uploaded. Subscribe: https://www.youtube.com/subscription_center?add_user=medcramvideos Recommended Audience: Health care professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NDBE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram: Complete Video library: https://www.youtube.com/c/medcram Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical educational and exam preparation purposes, and not intended to replace recommendations by your health care provider.
MPG Primer: Clinical interpretation of genes for disease causality, Part 2 (2018)
 
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January 11th, 2018 MPG Primer Broad Institute Clinical interpretation of genes for causality and of sequence variants for pathogenicity; Part 2/2 Heidi Rehm, PhD, FACMG Brigham and Women's Hospital; Harvard Medical School; The Broad Institute The Primer on Medical and Population Genetics is a series of informal weekly discussions of basic genetics topics that relate to human populations and disease. Experts from across the Broad Institute community give in-depth introductions to the basic principles of complex trait genetics, including human genetic variation, genotyping, DNA sequencing methods, statistics, data analysis, and more. Videos of these sessions are made freely available for viewing here and are geared toward a wide audience that includes research technicians, graduate students, postdoctoral fellows, and established investigators just entering the field. For more information, please visit: -Program in Medical Population Genetics (http://www.broadinstitute.org/node/224/) -Primer videos (http://www.broadinstitute.org/node/1339/) Copyright Broad Institute, 2018. All rights reserved.
Views: 700 Broad Institute
Critical Care Paramedic 4:  Interpretation of Lab and Basic Diagnostic Tests
 
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This Wisconsin Critical Care Paramedic module covers the interpretation of lab and basic diagnostic tests as associated with critical care interfacility transports.
Views: 38405 WCTCEMS
Using Large Scale Genomic Databases to Improve Disease Variant Interpretation
 
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Rapid advances in sequencing technology have led to the generation of genome-scale DNA sequencing data for more than 2 million individuals worldwide. These data represent incredibly powerful information about the distribution and impact of genetic variation, but major challenges remain to aggregating and harmonizing them. In this presentation I will describe the development of the Exome Aggregation Consortium (ExAC) and Genome Aggregation Database (gnomAD) databases, which combined represent exome and genome sequencing data for over 135,000 individuals. I will discuss approaches to analyzing genome data at massive scale, and the applications of these data to understanding human variation and gene function. See more on this video at https://www.microsoft.com/en-us/research/video/using-large-scale-genomic-databases-to-improve-disease-variant-interpretation/
Views: 684 Microsoft Research
Choosing which statistical test to use - statistics help.
 
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Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 714190 Dr Nic's Maths and Stats
Liver Function Tests (LFTs) Explained Clearly by MedCram.com
 
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Understand liver function tests (LFT) with clear illustrations from Dr. Roger Seheult of http://www.medcram.com. Includes discussion of direct (conjugated) and indirect (unconjugated) bilirubin, cholestasis, alkaline phosphatase, GGT, Gilbert's syndrome, jaundice, and more. This video on liver function tests is lecture 2 of 4 on the liver. Speaker: Roger Seheult, MD Clinical and Exam Preparation Instructor Board Certified in Internal Medicine, Pulmonary Disease, Critical Care, and Sleep Medicine. MedCram: Medical topics explained clearly including: Asthma, COPD, Acute Renal Failure, Mechanical Ventilation, Oxygen Hemoglobin Dissociation Curve, Hypertension, Shock, Diabetic Ketoacidosis (DKA), Medical Acid Base, VQ Mismatch, Hyponatremia, Liver Function Tests, Pulmonary Function Tests (PFTs), Adrenal Gland, Pneumonia Treatment, any many others. New topics are often added weekly- please subscribe to help support MedCram and become notified when new videos have been uploaded. Subscribe: https://www.youtube.com/subscription_center?add_user=medcramvideos Recommended Audience: Health care professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NDBE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram: Complete Video library: https://www.youtube.com/c/medcram Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical educational and exam preparation purposes, and not intended to replace recommendations by your health care provider.
Respironics CPAP DreamStation   Clinical and Compliance Data You Absolutely Must Know
 
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http://www.cpaphelpdesk.com/Aweber-CPAP-Survival-Guide-Sign-Up.html We want to send you a powerful free CPAP Mastery Toolkit that reveals, simple yet effective tools we use to help so many people solve their CPAP problems for good. We have successfully helped thousands of people (for the last 20 clinical years and we are still doing so.) These folks initially struggled to use their CPAP to the point they hated it, dreaded the thought of sleeping at night with their CPAP and was about to give up. We helped them overcome their problems and now they honestly look forward to sleeping with their CPAP every night. Get this free CPAP Mastery ToolKit. http://www.cpaphelpdesk.com/stop-struggling-to-use-cpap-video.html This is a useful review to help you decide if Respironics CPAP Mask Amara View is appropriate for you. We show you what people like and complain about it. You will find this video very practical. Looking for solutions to your most pressing CPAP problems? Are you starting to dread sleeping with your CPAP? We can help. Every year it seems that over 40% of the patient's I personally work with, have strongly come to dislike (hate) the idea of using their CPAP. Simply because of the many problems they encounter. Most of them are on the brink of quitting. I would then plead for them to give CPAP another chance. Their hard work and utilizing the exact same advice I share with you in this guide... I am successfully able to help most of them. These same men and women do become faithful CPAP users much to their surprise, imagine that. The small number of patients that don't use CPAP, then move on to alternative therapies (that I explain to you with insider information) in this guide. This guide was born out of our case files of helping over thirty thousand people successfully use their CPAP machine over the last twenty years. This guide is also a joint effort, where we regularly seek advice from other therapists, doctors, nurse practitioners, sleep technicians and most importantly feedback from our thousands of CPAP users as to what is not working, why is that, and what really works. Then I use those working solutions with my patients. Click this Link below to get more detailed information. http://www.cpaphelpdesk.com/sales-page-1a-copy.html
Views: 23837 cpaphelpdesk
Understanding the p-value - Statistics Help
 
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With Spanish subtitles. This video explains how to use the p-value to draw conclusions from statistical output. It includes the story of Helen, making sure that the choconutties she sells have sufficient peanuts. You might like to read my blog: http://learnandteachstatistics.wordpress.com
Views: 749322 Dr Nic's Maths and Stats
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
 
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Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 153617 YaleUniversity
Genetic Testing Reports: The Bad, The OK and The Ideal
 
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Learn more about genetics: http://go.dirtygenes.com/book Learn more about StrateGene: http://go.strategene.org/genetic-analysis/ How to Use StrateGene: https://www.youtube.com/watch?v=Tkemqns2GkQ This is Dr Ben Lynch giving clinical insights on a new tool for interpreting genetic testing results - not reading and no teleprompter. Join Like-Minded Folks here on Facebook: https://www.facebook.com/drbenjaminlynch iTunes free podcast: http://apple.co/1GzJiZS Twitter: https://twitter.com/DrBenLynch Instagram: https://instagram.com/seekinghealthei/ LinkedIn: http://www.linkedin.com/in/benjaminlynch/ ---------------------------- VIDEO SUMMARY ---------------------------- Get help interpreting 23&Me data with a StrateGene report. StrateGene is a tool that provides information on clinically relevant SNPs, includes the biochemical pathways and identifies factors which influence SNPs, kinetic impact, and potential associated symptoms and conditions. ------------------------------------------ EDUCATIONAL RESOURCE ------------------------------------------ Did you like this video? Ready for exponential growth? A SHEI membership gives you access to hours of FREE conference recordings, educational and conference discounts, professional & general public forums and more! Visit http://www.seekinghealth.org/product/membership for more information. All of SHEI education is purely educational. There are NO product recommendations or 'sales pitches'. ------------------------------------------------------------------------------------- ABOUT SEEKING HEALTH EDUCATIONAL INSTITUTE ------------------------------------------------------------------------------------ Seeking Health Educational Institute (SHEI) identifies and assimilates clinically-relevant research in the areas of nutrigenomics and methylation. We then deliver it to the health professional – and layperson – via webinars, seminars, conferences, forums, podcasts, videos and articles. As the leader in nutrigenomics and methylation research interpretation, SHEI is the trusted resource for health professionals and laypersons worldwide. Our Promise To change the healthcare model from disease-based medicine towards an integrative systems approach one healthcare professional at a time. To provide accurate, efficient and effective clinical tools. To strive towards optimizing life. Our Mission Providing education for both health professionals and laypersons in the art of integrating nutrigenomics with the principles of Vis Medicatrix Naturae, Tolle Causum, Tolle Totum and Docere. -------------------------------------------------- RESEARCHED FORMULATIONS ------------------------------------------------ Here is where you will find researched supplement formulations by Dr Lynch: http://www.seekinghealth.com Health professionals are eligible for wholesale pricing: http://www.seekinghealth.com/wholesale
Views: 78222 Dr Ben Lynch
CTN Webinar: Secondary Analyses for Clinical Trials in Development
 
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This 90 minute webinar, produced by the National Drug Abuse Treatment Clinical Trials Network (CTN) Clinical Coordinating Center for CTN members and the public, discusses secondary analysis planning in the development of clinical trials, interpretation, and reporting. Additionally, there is consideration of the balance between hypothesis generation and maintaining the overall integrity of the trial when secondary analysis occurs after study completion. Objectives include: - Reviewing the statistical issues with analyzing/interpreting secondary analyses; - Explaining the importance of secondary outcome and analysis identification during protocol development; - Discussing reporting and interpretation of secondary analyses, including the perspective of the CTN Publications Committee. Everyone is welcome! This webinar is targeted for all research professionals responsible for the development of research trials and those interested in expanding their understanding of secondary analyses. Presented by Abigail Matthews, PhD (EMMES Corporation), Dan Feaster, PhD (Florida Node Alliance), George Bigelow, PhD (Mid-Atlantic Node). For more resources related to this webinar, as well as other webinars in this series, visit: http://ctndisseminationlibrary.org/ctntraining.htm
SPSS for questionnaire analysis:  Correlation analysis
 
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Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watch correlation and regression: https://youtu.be/tDxeR6JT6nM ------------------------- Correlation of 2 rodinal variables, non monotonic This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the "correlation" for qualitative variables. And since your 2 variables are ordinal, they are qualitative. Good luck
Views: 503303 Phil Chan
Clinical Data Disclosure - The Five P's (Full)
 
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90 second summary video: https://youtu.be/Dl08xpfOVf0 Links to related materials: http://ands.org.au/presentations/index.html#15-09-16 CC-BY-NC This presentation would be of particular interest to: -- researchers: publishing articles based on clinical research data -- support staff: managing health and clinical data This presentation will look at the practical considerations, for researchers, of publishing articles about clinical data, and preparing clinical data for sharing and publication. Iain Hrynaszkiewicz is Head of Data and HSS Publishing at Nature Publishing Group and Palgrave Macmillan, where his responsibilities include developing new areas of open research publishing and data policy. He is publisher of Scientific Data and helps develop open access monograph publishing. Iain previously worked at Faculty of 1000 and BioMed Central as an Editor and Publisher, of multidisciplinary life science journals and evidence-based medicine journals, and the Current Controlled Trials clinical trial registry. He has led various initiatives, and published several articles, related to data sharing, open access, open data and the role of publishers in reproducible research. Research funders, regulators, legislators, academics and the pharmaceutical industry are working to increase transparency of clinical research data while protecting research participant privacy. Journals and publishers are also involved and some have been strengthening their policies on researchers providing access to the data supporting published results, and providing new ways to publish and link to data online. Scientific Data (Nature Publishing Group), which publishes descriptions of scientifically valuable datasets, in July 2015 launched a public consultation and published draft guidelines on linking journal articles and peer review more robustly and consistently with clinical data that are only available on request. -- Editorial: http://www.nature.com/articles/sdata201534 -- Guidance for publishing descriptions of non-public clinical datasets: http://biorxiv.org/content/early/2015/06/30/021667 More information: -- ANDS Sensitive Data Guide: http://ands.org.au/datamanagement/sensitivedata.html -- ANDS youtube playlist for Sensitive Data and Ethics: https://www.youtube.com/playlist?list=PLG25fMbdLRa5pvodHMYDi3c0LTu8N3Ks- (includes a 1min video on the benefits of publishing sensitive data)
Genomics England Clinical Interpretation Partnership (GeCIP) - Lead Researchers
 
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Three of the lead researchers from our clinical interpretation partnership discuss their work and what they hope to achieve.
Views: 917 Genomics England
Confidence Interval Interpretation. 95% Confidence Interval 90% 99%
 
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CORRECTION: Although my mistake is beyond the scope of the Step 1 exam, the interpretation of Confidence Interval that I used in the video is incorrect & a bit oversimplified. I stated that for an individual study there is a 95% chance that the true value lies within the 95% CI. However, confidence interval is a type of frequentist inference and the interpretation I gave in the video is really better suited for interpreting statistics of Bayesian Inference (Again please don’t feel like you need to know these terms for the exam). What I should have said is something like “if 100 similarly designed studies use a 95% confidence interval then 95 of these intervals will contain the true value and 5 will not. For more info on this misconception click here https://en.wikipedia.org/wiki/Bayesian_inference A Confidence Interval (CI) is the range of values the true value in the population is expected to fall within based on the study results. The results we receive in any study do not perfectly mirror the overall population and the confidence interval lets us get a better idea of what the results in the overall population might be. The confidence interval is based on a certain level of confidence. Don't get this confused with the value of the sample population. If the measured BMI in 100 people in your study population and the mean is 25 than you are very confident that the actual mean BMI in that group is 25. Confidence interval only comes into play when you try to extrapolate your study results to other situations (like to the population overall). If you have a 95% confidence interval (which is most common) that means there is a 95% chance that the true value lies somewhere in the confidence interval. You can also alter the width of the confidence interval by selecting a different percentage of confidence. 90% & 99% are also commonly used. A 99% confidence interval is wider (has more values) than a 95% confidence interval & 90% confidence interval is the most narrow. The width of the CI changes with changes in sample size. The width of the confidence interval is larger with small sample sizes. You don't have enough data to get a clear picture of what is going on so your range of possible values is wider. Imagine your study on a group of 10 individuals shows an average shoe size of 9. If based on the results you are 95% sure that the actual average shoe size for the entire population is somewhere in between 6 and 12, then the 95% CI is 6-12. Based just on your results you don't really know what the average in the population is, because your study population is a very small sliver of the overall population. Now if you repeat the study with 10,000 individuals and you get an average shoe size of 9 the confidence interval is going to be smaller (something like 8.8 to 9.3). Here you have a much larger sample size and therefore your results give you a much clearer idea of what is going on with the entire population. Therefore, your 95% CI shrinks. The width of the confidence interval decreases with an increasing sample size (n). This is sort of like the standard deviation decreasing with an increased sample size. Confidence intervals are often applied to RR & OR. For example, the odds ratio might be 1.2, but you aren't sure how much of an impact chance had on determining that value. Therefore, instead of just reporting the value of 1.2 you also report a range of values where the true value in the population is likely to lie. So we would report something like the odds ratio is 1.2 and we are 95% confident that the true value within the overall population is somewhere between .9 and 1.5. You can use the confidence interval to determine statistical significance similar to how you use the p-Value. If the 95% confidence interval crosses the line of no difference that is the same things as saying there is a p-value of greater than 5%. This is intuitive because if the confidence interval includes the value of no difference then there is a reasonable chance that there is no difference between the groups. If the confidence interval does not cross the line of no difference than the observed difference is statistically significant, because you know it is highly unlikely that the two groups are the same. For both relative risk (RR) and odds ratio (OR), the "line of no difference" is 1. So an RR or OR of 1 means there is no difference between the two groups being compared with respect to what you are measuring. This is because RR and OR are ratios and a value divided by itself is 1. If the 95% confidence interval of the RR or OR includes the value 1, that means it is possible the true value is 1 and there is no difference between groups. If that is the case, we say the null hypothesis cannot be rejected or that there is no statistically significant difference shown. This is the same thing as saying the p-value is greater than .05.
Views: 209332 Stomp On Step 1
Key Insights: Updates in Non-Colorectal GI Cancers
 
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Great Debates & Updates in GI Malignancies 2018 provided expert review and guidance for the evaluation and interpretation of recent clinical data, assessment of optimal approaches for management of non-colorectal cancers, and facilitate the safe and appropriate integration of new therapies into everyday clinical practice. This activity features the conference co-chairs, Drs. Axel Grothey and David H. Ilson, discussing the key take-home messages from the second day of the conference, which focused on non-colorectal GI cancers. Earn CME Credit for this activity: http://elc.imedex.com/ELC/Specialty-Search.aspx?search=7290 © 2018 Imedex, LLC.
Views: 72 ImedexCME
Lesson 7 - Analyze and Interpret Surveillance Data - Part 1
 
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Data management. Confidentiality. Data quality. Completeness. Validity.
Views: 255 Franklyn Prieto
Sensitivity and specificity - explained in 3 minutes
 
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Dr Greg Martin talks about the sensitivity and specificity of diagnostic tools used in global health programs. This forms part of the epidemiology series. Global health (and public health) is truly multidisciplinary and leans on epidemiology, health economics, health policy, statistics, ethics, demography.... the list goes on and on. This YouTube channel is here to provide you with some teaching and information on these topics. I've also posted some videos on how to find work in the global health space and how to raise money or get a grant for your projects. Please feel free to leave comments and questions - I'll respond to all of them (we'll, I'll try to at least). Feel free to make suggestions as to future content for the channel. SUPPORT: —————- This channel has a crowd-funding campaign (please support if you find these videos useful). Here is the link: http://bit.ly/GH_support OTHER USEFUL LINKS: ———————— Channel page: http://bit.ly/GH_channel Subscribe: http://bit.ly/GH_subscribe Google+: http://bit.ly/GH_Google Twitter: @drgregmartin Facebook: http://bit.ly/GH_facebook HERE ARE SOME PLAYLISTS ——————————————- Finding work in Global Health: http://bit.ly/GH_working Epidemiology: http://bit.ly/GH_epi Global Health Ethics: http://bit.ly/GH_ethics Global Health Facts: http://bit.ly/GH_facts WANT CAREER ADVICE? ———————————— You can book time with Dr Greg Martin via Google Helpouts to get advice about finding work in the global health space. Here is the link: http://bit.ly/GH_career -~-~~-~~~-~~-~- Please watch: "Know how interpret an epidemic curve?" https://www.youtube.com/watch?v=7SM4PN7Yg1s -~-~~-~~~-~~-~-
ROC Curves and Area Under the Curve (AUC) Explained
 
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An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 277039 Data School
Using the Clinical Data Repository (CDR) to Meet Meaningful Use (MU)
 
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A webinar that details how a provider can use the CDR to meet MU during attestation.
Hypothesis testing and p-values | Inferential statistics | Probability and Statistics | Khan Academy
 
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Hypothesis Testing and P-values Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/hypothesis-testing-with-simulations?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis-testing/v/one-tailed-and-two-tailed-tests?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/margin-of-error/v/margin-of-error-2?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 2085034 Khan Academy
Leveraging Clinical Decision Solutions to Standardize Clinical Protocols
 
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Leveraging Clinical Decision Solutions to Standardize Clinical Protocols and Enhance Clinician Test Interpretation To Achieve Healthier Hospitals Supported by Abbott Diagnostics
Views: 395 AACC
Understanding Confidence Intervals: Statistics Help
 
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This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples. Find out more on Statistics Learning Centre: http://statslc.com or to see more of our videos: https://wp.me/p24HeL-u6
Views: 710468 Dr Nic's Maths and Stats
Interpreting Hazard Ratios
 
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This video wil help students and clinicians understand how to interpret hazard ratios.
Views: 143752 Terry Shaneyfelt
CentoMD® 5.3 Largest database of rare diseases
 
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CentoMD® is the world’s largest genetic mutation database of rare diseases. The newest release further bridges the critical gap between genetic variants and clinical interpretation, by combining precise clinical genetic and biomarker information. Newly generated knowledge and data are now based off of disease causing variants confirmed by biomarker data. This unique combination standardizes and expedites the medical interpretation of these variants, coming from more than 301,000 individuals located in more than 115 countries.
Views: 53 Centogene AG