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1 What is meta-analysis?
 
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What is a meta-analysis? This tutorial walks you through the basic concepts.
Views: 29138 MetaLab
Intro to Systematic Reviews & Meta-Analyses
 
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Here's a brief introduction to how to evaluate systematic reviews.
Views: 182140 Rahul Patwari
Introduction to meta-analysis, Joshua R. Polanin
 
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Presentation by Josh Polanin, Managing Editor of the Campbell Methods Coordinating Group recorded at the 2013 Campbell Colloquium in Chicago. Find out more about the work of the Campbell Collaboration today: https://www.campbellcollaboration.org/
What is Meta Analysis - Definition Meaning Explained | Teacher Education Terms || SimplyInfo.net
 
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Watch the video to learn about what is Meta Analysis and Meta Analysis definition, meaning and importance explained in a simple and easy way useful for teacher education, B ed. education and teaching skill development. Also useful for kids, students and children interested in exploring education terms and concepts. LINK TO WEB ARTICLE: ............................ CONNECT US: Website: https://www.simplyinfo.net Facebook: https://www.facebook.com/SimplyInfonet-1371433352930926/ Twitter: https://twitter.com/SimplyInfo9 YouTube: https://www.youtube.com/channel/UCEPNeKhUwgMV_GyWQIn7E0A Slideshare: https://www.slideshare.net/SimplyInfoPortal Pinterest: https://in.pinterest.com/SimplyInfo9/ Instagram: https://www.instagram.com/simplyinfo9/ GooglePlus: https://plus.google.com/u/0/b/109475519033679079640/109475519033679079640 ............................ SUPPORT US: SUBSCRIBE | LIKE | SHARE | COMMENT... ............................ Cheers, Happy Learning! SimplyInfo.net Team ............................ About Simplyinfo.net: We provide the best info bytes videos in a very simple and effective way to learn, to revise and to master mini-size information. We simplify information in the following categories: - Business and Management - Arts and Entertainment - Design and Media Arts - Photography & DSLR Cameras - Animation and VFX - Filmmaking and SFX - Digital Marketing & Social Media - Education & Learning - Psychology & Mind - E-Learning & Edu Tech - Computer Science & Development - Programming and Coding - Web Development Technologies - Physical Sciences - Mathematics & Logic - Health & Fitness - Computers & Technology - IT & Software - Engineering & Technology - Philosophy & Thinking - Geography & Places - People & Awards - Countries & Cultures - Self-Help & Personal Transformation - Pets & Pet Care - Life Style - Sports & Games - Cooking - Food, Wine & Dine - Electronics - Gadgets & Devices - Books & Writers
Views: 5250 SimplyInfo
What is META-ANALYSIS? What does META-ANALYSIS mean? META-ANALYSIS meaning & explanation
 
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✪✪✪✪✪ WORK FROM HOME! Looking for WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is META-ANALYSIS? What does META-ANALYSIS mean? META-ANALYSIS meaning - META-ANALYSIS definition - META-ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. The basic tenet of a meta-analysis is that there is a common truth behind all conceptually similar scientific studies, but which has been measured with a certain error within individual studies. The aim in meta-analysis then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. In essence, all existing methods yield a weighted average from the results of the individual studies and what differs is the manner in which these weights are allocated and also the manner in which the uncertainty is computed around the point estimate thus generated. In addition to providing an estimate of the unknown common truth, meta-analysis has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies. Meta-analysis can be thought of as "conducting research about previous research." Meta-analysis can only proceed if we are able to identify a common statistical measure that is shared among studies, called the effect size, which has a standard error so that we can proceed with computing a weighted average of that common measure. Such weighting usually takes into consideration the sample sizes of the individual studies, although it can also include other factors, such as study quality. A key benefit of this approach is the aggregation of information leading to a higher statistical power and more robust point estimate than is possible from the measure derived from any individual study. However, in performing a meta-analysis, an investigator must make choices many of which can affect its results, including deciding how to search for studies, selecting studies based on a set of objective criteria, dealing with incomplete data, analyzing the data, and accounting for or choosing not to account for publication bias. Meta-analyses are often, but not always, important components of a systematic review procedure. For instance, a meta-analysis may be conducted on several clinical trials of a medical treatment, in an effort to obtain a better understanding of how well the treatment works. Here it is convenient to follow the terminology used by the Cochrane Collaboration, and use "meta-analysis" to refer to statistical methods of combining evidence, leaving other aspects of 'research synthesis' or 'evidence synthesis', such as combining information from qualitative studies, for the more general context of systematic reviews.
Views: 11968 The Audiopedia
A three minute primer on meta-analysis
 
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Dr Jack Bowden gives us a brief overview of meta-analysis. What is it, and how does it help scientists to assess and combine evidence from many different studies? For further reading please see Jack's paper in the American Statistician which is freely available at goo.gl/8Zxuzy -------------------------------------------------------- Animation by Paupanimation. Find Pau on Twitter (@paupanimation) or at on Facebook at https://www.facebook.com/paupanimation
Views: 5652 TARG Bristol
Meta analysis - learn how to interpret - quickly
 
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All you need to know about how to interpret the results of a meta analysis in 14 minutes and 15 seconds. If you find yourself in an exam and asked to review a meta analysis in an interview or an exam, or even if you're reading one in a journal to inform your clinical practice, this will be the best 1/4 hour you have spent in ages. If you want a more detailed explanation and to properly understand the process, then download our other podcast about meta analysis, which gives the background to all you see here. With Brett Doleman and Jon Lund
Views: 13862 school of surgery
Cohort, Case-Control, Meta-Analysis, Cross-sectional Study Designs & Definition
 
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http://www.stomponstep1.com/cohort-case-control-meta-analysis-cross-sectional-study-designs/ Based on the types of bias that are inherent in some study designs we can rank different study designs based on their validity. The types of research studies at the top of the list have the highest validity while those at the bottom have lower validity. In most cases if 2 studies on the same topic come to different conclusions, you assume the trial of the more valid type is correct. However, this is not always the case. Any study design can have bias. A very well designed and executed cohort study can yield more valid results than a clinical trial with clear deficiencies. • Meta-analysis of multiple Randomized Trials (Highest Validity) • Randomized Trial • Prospective Cohort Studies • Case Control Studies or Retrospective Cohort • Case Series (Lowest Validity) Meta-analysis is the process of taking results from multiple different studies and combining them to reach a single conclusion. Doing this is sort of like having one huge study with a very large sample size and therefore meta-analysis has higher power than individual studies. Clinical trials are the gold standard of research for therapeutic and preventative interventions. The researchers have a high level of control over most factors. This allows for randomization and blinding which aren't possible in many other study types. Participant's groups are assigned by the researcher in clinical trials while in observational studies "natural conditions" (personal preference, genetics, social determinants, environment, lifestyle ...) assign the group. As we will see later, the incidence in different groups is compared using Relative Risk (RR). Cohort Studies are studies where you first determine whether or not a person has had an exposure and then you monitor the occurrence of health outcomes overtime. It is the observational study design with the highest validity. Cohort is just a fancy name for a group, and this should help you remember this study design. You start with a group of people (some of whom happen to have an exposure and some who don't). Then you follow this group for a certain amount of time and monitor how often certain diseases or health outcomes arise. It is easier to conceptually understand cohort studies that are prospective. However, there are retrospective cohort studies also. In this scenario you identify a group of people in the past. You then first identify whether or not these people had the particular exposure at that point in time and determine whether or not they ended up getting the health outcomes later on. As we will see later, the incidence in different groups in a cohort study is compared using Relative Risk (RR). Case-Control Studies are retrospective and observational. You first identify people who have the health outcome of interest. Then you carefully select a group of controls that are very similar to your diseased population except they don't have that particular disease. Then you try to determine whether or not the participants from each group had a particular exposure in the past. I remember this by thinking that in a case control study you start off knowing whether a person is diseased (a case) or not diseased (a control). There isn't a huge difference between retrospective cohort and case-control. You are basically doing the same steps but in a slightly different order. However, the two study designs are used in different settings. As we will see later, the incidence in different groups in a case-control study is compared using Odds Ratio (OR). A Case-Series is a small collection of individual cases. It is an observational study with a very small sample size and no control group. Basically you are just reviewing the medical records for a few people with a particular exposure or disease. A study like this is good for very rare exposures or diseases. Obviously the small sample size and lack of a control group limits the validity of any conclusions that are made, but in certain situations this is the best evidence that is available. Cross Sectional Studies are different from the others we have discussed. While the other studies measure the incidence of a particular health outcome over time, a cross-sectional study measures Prevalence. In this observational study the prevalence of the exposure and the health outcome are measured at the same time. You are basically trying to figure out how many people in the population have the disease and how many people have the exposure at one point in time. It is hard to determine an association between the exposure and disease just from this information, but you can still learn things from these studies. If the exposure and disease are both common in a particular population it may be worth investing more resources to do a different type of study to determine whether or not there is a causal relationship.
Views: 123136 Stomp On Step 1
IPPCR 2015: Secondary Data/Meta-Analysis
 
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Introduction to the Principles and Practice of Clinical Research (IPPCR) 2015: Secondary Data/Meta-Analysis Air date: Tuesday, December 08, 2015, 5:00:00 PM Category: IPPCR Runtime: 00:53:33 Description: The Introduction to the Principles and Practice of Clinical Research (IPPCR) is a course to train participants on how to effectively conduct clinical research. The course focuses on the spectrum of clinical research and the research process by highlighting epidemiologic methods, study design, protocol preparation, patient monitoring, quality assurance, and Food and Drug Administration (FDA) issues. For more information go to http://clinicalcenter.nih.gov/training/training/ippcr1.html Author: Charles Natanson, M.D., NIH Permanent link: http://videocast.nih.gov/launch.asp?19374
Views: 3717 nihvcast
NCCMT - URE - Forest Plots - Understanding a Meta-Analysis in 5 Minutes or Less
 
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Knowing how to interpret an odds ratio (OR) allows you to quickly understand whether a public health intervention works and how big an effect it has. For example, how effective is the flu vaccine in preventing people from getting the flu? Using hypothetical data, How to Calculate an Odds Ratio shows how an OR helps determine, on average, how many people who got the flu shot came down with the flu, versus the number of people who did not get the flu shot. The video explains how to calculate and interpret an OR, and decide whether it indicates a positive or negative outcome. An OR of “1” would mean that the flu shot made no difference. So, if the outcome is something we were trying to increase, such as getting the flu shot in the first place, a positive outcome would be indicated by an OR of greater than 1. But, if the intervention is intended to decrease something, such as getting sick with the flu, an OR of less than 1 would show a positive outcome. The National Collaborating Centre for Methods and Tools is funded by the Public Health Agency of Canada and affiliated with McMaster University. The views expressed herein do not necessarily represent the views of the Public Health Agency of Canada. NCCMT is one of six National Collaborating Centres (NCCs) for Public Health. The Centres promote and improve the use of scientific research and other knowledge to strengthen public health practices and policies in Canada.
Views: 15982 The NCCMT
Conducting a meta-analysis with R
 
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Meta-analysis synthesizes a body of research investigating a common research question. This video provides a practical and non-technical guide showing you how to perform a meta-analysis of correlational datasets. I use a supplementary R script to demonstrate each analytical step described in the paper, which is readily adaptable for people to use for their analyses. While the worked example is the analysis of a correlational dataset, the general meta-analytic process described in this paper is applicable for all types of effect sizes. The paper - http://journal.frontiersin.org/article/10.3389/fpsyg.2015.01549/abstract The script and datasets - https://github.com/dsquintana/corr_meta A podcast episode on meta-analysis issues https://soundcloud.com/everything-hertz/4-meta-analysis-or-mega-silliness
Views: 25191 Daniel Quintana
Introduction to Meta-Analysis
 
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This video presents a brief overview of what meta-analyses are and what they tell us. It focuses on understanding a specific meta-analysis (Dahl, 2005) which examines the relationship between organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). This is part of a lecture series (5 videos) covering several supplemental topics in statistics. The PowerPoint and data sets can be downloaded at: https://www.researchgate.net/profile/David_Dunaetz/publication/308996129_PowerPoint_for_Supplemental_Topics_in_Statistics/links/57fd7a5508ae49db47553c1b If you have not installed the Data Analysis Toolpak (which comes free with Excel), the following video will show you how to do it. Windows: https://www.youtube.com/watch?v=rq8VynGNAFU Mac: https://www.youtube.com/watch?v=1R_aJ_Fli2w
Views: 5360 David Dunaetz
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: 49014 Tara Bishop MD
Comprehensive Meta-Analysis Basic analyses Correlations
 
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Comprehensive Meta-Analysis Basic analyses Correlations
Views: 8146 Michael Borenstein
Intro Statistics 10 Meta Analysis
 
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I use pictures from the ESCI software to give a brief, easy introduction to meta-analysis, which is estimation extended to more than one study. Enjoy the forest plot, a beautiful picture that summarises a number of related studies, and their integration by meta-analysis.. This is Video 10 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Views: 17839 Geoff Cumming
5 Literature search for meta-analysis
 
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How do you perform a systematic literature search for a qualitative review or a meta-analysis?
Views: 1558 MetaLab
Systematic Review and Meta analysis - All you ever need to know
 
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Meta analysis is a very common way of bringing together data to help us decide which treatments might be best. BUT, you have to take care when interpreting them - there's a lot more to it than just looking which side of the line the little black diamond is on! How do you construct a search for a systematic review?Can you trust the result of a meta analysis? How do you know if it has been done well? How to recognise different kinds of bias, how to interpret a forest plot, and funnel plot and a bubble plot. What is the I squared statistic and what does it tell you about the data and how much to trust the result? These and many more things to do with these common but complex analyses is explained by Brett Doleman, statistical guru!
Views: 18448 school of surgery
What is META Analysis | META Analysis Explained
 
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In this video I go over a research method called Mets Analysis. I briefly go over some of it’s advantages and disadvantages. If you find any of this content interesting please Like, Share and Subscribe. You are also more than welcome to leave Comments below. Important Links are below: - META analysis in medical research https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049418/ - Wikipedia article on Meta Analysis https://en.m.wikipedia.org/wiki/Meta-analysis - Dr. Dario Nardi’s Personality Assessment http://www.keys2cognition.com/explore.htm - Dr. Beebe’s archetypal descriptions http://www.apt-nc.org/type-theories/eight-function-model/ Follow me on Social Media: - Instagram https://www.instagram.com/theoriginalskeptic/ -Twitter https://mobile.twitter.com/_irrational_the My Videos: https://youtu.be/ngYxT6LFqgA https://youtu.be/d_CFpSCg6G0
Cochrane SA webinar: Common errors in meta-analyses
 
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Common errors in meta-analyses presented by Liz Bickerdike, Sarah Hodgkinson and Nuala Livingstone from the Editorial & Methods Unit, Cochrane Central Executive
Primary & secondary data, meta analysis - Research Methods (7.24) Psychology AQA paper 2
 
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7.24 Primary & secondary data, meta analysis - Research Methods - AQA spec Alevel Psychology, p2 in this video definitions and evaluations of Primary Data, Secondary Data, Meta-analysis If you are a student of A-level AQA psychology I have made these videos for you! They are a full set of videos for every part of the AQA specification from 2015 onwards. They are to be used in preparation for a flipped classroom, revision, self teaching or for anyone who is just interested in psychology in general. I have attempted to make them as simple, focused and accurate as possible, 6 key points for each sub topic, (to match the 6 A01/ knowledge points in the biggest essay you will get, a 16 marker) 2 pieces of evaluative research per sub-topic (with ways to expand these to gain the 10 A03/ Evaluation points available) The channel is an on-going project in my spare time, I'm a full time Psychology A-level teacher teaching over 125 students over A1 and A2. That being said, I'm not perfect, if you spot a mistake or omission, please let me know so I can adapt the next video!
Views: 1343 Psych Boost
Extracting Data for Meta-Analysis: Step 1
 
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How to locate the outcomes of interest in different types of research articles Table of Contents: 00:00 - Data Extraction for Meta-Analysis 00:14 - 00:51 - 01:25 - 01:38 - 01:49 - Marker 03:26 - 03:39 - 04:39 - 04:59 - 06:32 - 06:38 - 07:33 - 07:40 - 09:12 -
Views: 39686 Scott Parrott
Research Spotlight EFT Meta Analyses Dr Peta Stapleton
 
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Dr Peta Stapleton, clinical and health psychologist and world researcher in EFT (Emotional Freedom Techniques) or Tapping, makes research easy to understand in these spotlights. This video outlines 3 meta analyses published on EFT for Post Traumatic Stress Disorder, Depression and Anxiety and explains what the results mean. The meta analyses for Thought Field Therapy (TFT) for PTSD is also overviewed. To learn more about EFT/Tapping visit http://petastapleton.com and http://evidencebasedeft.com References for articles discussed - Clond, M. (2016). “Emotional Freedom Techniques for anxiety: A systematic review with meta-analysis. ” Journal of Nervous and Mental Disease 204 (2016): 388-395. doi:10.1097/NMD.0000000000000483 Nelms, J. and Castel, D. “A systematic review and meta-analysis of randomized and non-randomized trials of Emotional Freedom Techniques (EFT) for the treatment of depression. ” Explore: The Journal of Science and Healing 12 (2016) : 416-426. doi: 10.1016/j.explore.2016.08.001 Edwards, Jenny and Vanchu-Orosco, M. “A meta-analysis of randomized and nonrandomized trials of Thought Field Therapy (TFT) for the treatment of posttraumatic stress disorder (PTSD).” Paper presented at the Annual Meeting of the Association for Comprehensive Energy Psychology, San Antonio, Texas, 2017. Sebastian, B., and Nelms, J. “The effectiveness of Emotional Freedom Techniques in the treatment of posttraumatic stress disorder: A meta-analysis.” Explore: The Journal of Science and Healing, 13 (2017): 16–25. doi:10.1016/j.explore.2016.10.001
Views: 2164 Dr Peta Stapleton
The New Statistics: Meta-Analysis and Meta-Analytic Thinking (workshop Part 6)
 
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Featuring Geoff Cumming La Trobe University, Australia Leading scholars in psychology and other disciplines are striving to help scientists enhance the way they conduct, analyze, and report their research. They advocate the use of “the new statistics,”— effect sizes, confidence intervals, and meta-analysis. APS’ flagship journal, Psychological Science, has been inviting authors to use the “new statistics” as part of a comprehensive effort to enhance research methodology. In this workshop, Geoff Cumming, a leading expert in new statistics, explains why all these changes are necessary, and suggests how psychological scientists can implement them. The workshop was recorded at the 2014 APS Annual Convention in San Francisco, and is presented here as six video segments. It makes extensive use of interactive simulations to illustrate concepts, and provides a wealth of practical guidance. Part 6 Includes: • Meta-analysis as estimation extended to more than two studies. • The revealing picture of meta-analysis: the forest plot • Models, moderator analysis, software. • The Cochrane Collaboration. • Consideration of any study in the context of past and possible future studies.
Views: 8176 PsychologicalScience
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.
Statistical methods for updating meta-analyses: presentation
 
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This video is a presentation delivered by Dr Mark Simmonds from Centre for Reviews and Dissemination, University of York, UK, during a Cochrane Learning Live webinar organized by the Cochrane Statistical Methods Group, with the support from Cochrane Learning & Support Department. Systematic reviews and meta-analyses generally require updating as new studies become available; this requires multiple, repeated meta-analyses. This increases the risk of attaining spurious statistical significance in each analysis. As updating of meta-analyses becomes both more common and more frequent there is an increasing risk that meta-analysis results may be misinterpreted, particularly if readers are unaware of the updating process. In this presentation, Dr Mark Simmonds describes several methods to address this problem when meta-analyses are repeatedly updated, which have been assessed using a formal simulation study, and by applying methods to a range of recently-updated systematic reviews in the Cochrane Library.
Views: 309 Cochrane Training
PRISMA Methods Meta analysis of Observational Studies
 
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This lecture is part of the Systematic Reviews course that teaches undergraduate students, PhD students and researchers how to build a systematic review or meta-analysis. Don’t hesitate to contact me for help with your review, to conduct a systematic review or meta-analysis or to organise a course on your location. Enjoy the course! Maurice Zeegers (www.systematicreviews.nl)
Views: 543 Maurice Zeegers
Intro to meta-analysis of GWASs
 
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Raymond Walters, Massachusetts General Hospital & Broad Institute of MIT and Harvard gives a lecture on: Introduction to meta-analysis of genome-wide association studies (GWAS)
Views: 414 Dennis Lal
Introduction to meta-analysis 1
 
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A brief introduction to sytematic reviews and meta-analyses, part 1 of 2. Focuses on the interpretation of published meta-analyses.
Views: 437 Jonatan Lindh
Effect size calculation and basic meta-analysis, David B. Wilson
 
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David Wilson delivers a crash course in meta-analysis. This workshop presentation was recorded in Washington at the Campbell Colloquium 2011. Find out more about the work of the Campbell Collaboration today: https://www.campbellcollaboration.org/ See also David's popular meta-analysis effect size calculator here: https://www.campbellcollaboration.org/research-resources/research-for-resources/effect-size-calculator.html
Introduction to meta analyses and meta epidemiology
 
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A webinar by Agnès Dechartres (University Paris Descartes) - organised by the MiRoR H2020 project on June 15, 2017
Views: 561 MiRoR Project
Meta Analysis, Calcium, and Organic Food
 
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Last week we discussed systematic reviews, and why they're better than review articles, or opinions. But they're not the only types of "studies of studies" I've presented to you. Sometimes you can go a step further. After you've collected all the appropriate studies, you can merge the data together and do one large analysis. Those studies are called meta-analyses, and they're the subject of today's Healthcare Triage For those of you who want to read more or see references, look here: http://theincidentaleconomist.com/wordpress/?p=57918 John Green -- Executive Producer Stan Muller -- Director, Producer Aaron Carroll -- Writer Mark Olsen -- Graphics http://www.twitter.com/aaronecarroll http://www.twitter.com/crashcoursestan http://www.twitter.com/realjohngreen http://www.twitter.com/olsenvideo
Views: 50706 Healthcare Triage
Primer on meta-analysis of diagnostic accuracy studies
 
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Prof. Thomas Trikalinos (Brown University)
Views: 1748 EBME DUK
PRISMA Results & Discussion Meta analysis of Observational Studies
 
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This lecture is part of the Systematic Reviews course that teaches undergraduate students, PhD students and researchers how to build a systematic review or meta-analysis. Don’t hesitate to contact me for help with your review, to conduct a systematic review or meta-analysis or to organise a course on your location. Enjoy the course! Maurice Zeegers (www.systematicreviews.nl)
Views: 187 Maurice Zeegers
PRISMA Abstract & Introduction Meta analysis of Observational Studies
 
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This lecture is part of the Systematic Reviews course that teaches undergraduate students, PhD students and researchers how to build a systematic review or meta-analysis. Don’t hesitate to contact me for help with your review, to conduct a systematic review or meta-analysis or to organise a course on your location. Enjoy the course! Maurice Zeegers (www.systematicreviews.nl)
Views: 142 Maurice Zeegers
Meta Analysis Lecture 1
 
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Course in Meta analysis done by doctor Sulaiman Hamarneh M.D. from Massachusetts General Hospital, Harvard Medical School. link for Jordanian meta-analysis club groub https://www.facebook.com/groups/RoyaMAclub/ link for Roya Research Institute page https://www.facebook.com/pages/Roya-Research-Institute/774440309318013?sk=timeline
Views: 1164 ahmad shahwan
Indirect Treatment Comparisons and Network Meta-analyses for Managers and Directors
 
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Click here to register for free and to view the entire webinar: http://xtalks.com/Network-Meta-Analysis.ashx?utm_source=Youtube&utm_medium=Teaser&utm_campaign=XTO823_JSSMedicalResearch Speaker: Marie Maxime Hubert, M.Sc., Health Economics and Outcomes Research Manager, JSS Medical Research Following the successful session on budget impact analyses (Five simple and effective ways to improve budget impact analyses and obtain drug reimbursement), JSS Medical Research will be presenting Indirect treatment comparisons and network meta-analyses for managers and directors: concept and application using a non-technical, user-friendly tool. This introductory course is meant to: 1) Conceptualize indirect treatment comparisons (ITCs) 2) Recognize the different types 3) Understand their advantages and disadvantages The session includes a hands-on workshop using a simple ITC tool requiring no technical experience. The indirect treatment comparison (also referred to as network meta-analysis and multiple treatment comparison) is a new methodology on everyone’s radar as it is in high demand and frequently used by health technology assessment (HTA) agencies, particularly the Canadian Agency for Drugs and Technologies in Health (CADTH). After the session, the attendee will be able to answer the following questions: Do you understand how this new technology might impact clinical development and market access? Can you consider the feasibility of an indirect treatment comparison (ITC) when strategically planning a product’s clinical development or market access approach? Can you predict the results of an ITC under the simplest scenario (product A vs. B using their comparison against product C)? Can you integrate the results of an ITC in an economic evaluation and estimate the resulting incremental cost-effectiveness ratio? Can you suggest the optimal inclusion and exclusion criteria of a phase III study design to fit with an existing ITC? Would you be able to interpret and defend the performance of a product in an ITC, or justify why an ITC cannot be performed? Can you recognize a naïve ITC? Can you tell the difference between a network meta-analysis (NMA) and mixed treatment analysis (MTC)? Can you identify which type(s) of ITC can be performed given the available evidence? This session is geared towards the pharmaceutical industry, specifically managers, directors, and senior executives who are elaborating clinical development or market access strategies. As the session requires no biostatistical or technical expertise, it will provide great value for individuals with no prior knowledge or those who attended a training aimed at performing the complex analytics that left them more puzzled than inspired. No methodology for performing the ITC will be discussed and as such, the session might be unsuited for analysts, biostatisticians or economic modellers. However, during the second half of the session, a hands-on workshop will teach participants how to use a simple ITC tool to estimate outcomes. The tool, compatible with all Windows systems, will be accessible for download at no charge from the corporate website of JSS Medical Research. For the practical portion, prior understanding of effect estimates (hazard ratio, odds ratio, rate difference, etc.) is preferable but not necessary. In brief, the session is ideal for anyone wishing to stay up-to-date on the newest methodologies. In a nutshell, the indirect treatment comparison can be described as a way of pooling clinical evidence to establish the relative efficacy of treatments never compared against each other but compared against a common comparator, without breaking randomisation. For example, if treatment A and treatment B have never been compared in a randomized clinical trial, but they have both been compared to the standard of care, treatment C, in a similar patient population, an indirect treatment comparison anchored on "C" can provide a relative effect estimate of "A" versus "B". Indirect treatment comparisons are particularly useful as more often than not, the phase III clinical trial did not include the relevant active comparator(s). Moreover, in order to obtain more precise estimates, the indirect treatment comparison can be applied using both direct and indirect clinical evidence. Keywords: Network Meta-Analysis, Indirect and Multiple Treatment Comparisons
Views: 766 Xtalks Webinars
Confidence in Network Meta-Analysis: How to evaluate study limitations (practical)
 
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Aim: This video explains how to use the web-application CINeMA to evaluate the impact of study limitations (risk of bias) in the results of network meta-analysis. Details: There is a need to evaluate the credibility of network meta-analysis evidence in a systematic way. We previously developed a framework (CINeMA; Confidence in Network Meta-analysis) to judge the confidence that can be placed in results obtained from a network meta-analysis by adapting and extending the GRADE domains (study limitations, inconsistency, indirectness, imprecision and publication bias). The system is transparent and applicable to any network structure. We are develop a user-friendly web application (called CINeMA) to simplify and speed-up the process. Table of Contents: 00:00 - Introduction 00:11 - Data upload 00:31 - Data format for csv file 01:31 - Network plot 02:48 - Define the comparisons to evaulate 03:12 - Estimate NMA and contributions 03:46 - Contribution bar plot
Views: 1227 Georgia Salanti
Meta-Analysis using independent subgroups within studies
 
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Comprehensive meta-analysis
Views: 10870 Michael Borenstein
Moderator analyses: categorical models and meta-regression, Ryan Williams
 
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Ryan Williams is a former Managing Editor of the Campbell Methods Coordinating Group. This presentation was recorded at the 2013 Campbell Colloquium in Chicago. Find out more about the work of the group today, and about the Campbell Collaboration, here: https://www.campbellcollaboration.org/
Using Meta-Analysis to Inform the Robustness of Research Findings
 
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Zhen Zhang, Associate Editor of Personnel Psychology, discusses effect size heterogeneity in meta-analysis findings. This presentation is recorded as part of the University of Florida Warrington College of Business' Reliable Research in Business initiative. To watch more videos about reliable research practices, please sign up here: https://warrington.ufl.edu/reliable-research-in-business/best-practices-for-reliable-research/.
Views: 118 UFWarrington
Intermittent Fasting - Benifits & Side effects | 100+ Research Meta-analysis  | Dr.Education (Eng)
 
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Meta-analysis Meaning
 
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Video shows what meta-analysis means. Any systematic procedure for statistically combining the results of many different studies.. An analysis resulting from combining the results of diverse statistical studies.. An analysis performed at a higher level of abstraction than that of basic analysis.. Meta-analysis Meaning. How to pronounce, definition audio dictionary. How to say meta-analysis. Powered by MaryTTS, Wiktionary
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Extracting data for Meta-analysis: Step 2
 
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How to identify study arms or comparison groups for meta-analysis data extraction Table of Contents: 00:00 - Marker 00:18 - 00:44 - 00:59 - 01:17 - 03:11 - 04:04 - 04:14 - Marker 04:32 - 04:44 - 06:10 - 06:15 - Marker 06:36 - 06:54 - 07:15 - 07:23 - 08:04 - 08:17 - 09:40 - 10:10 - 10:34 - 10:53 - 11:08 - Marker
Views: 17167 Scott Parrott
EuroPCR 2019 | Clinical Research – Confused by meta-analysis?
 
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We've got you covered with the essentials needed for understanding the structure and the significance of meta-analysis. Meet us at #EuroPCR on Thursday 23 May at the Palais des Congrès in Paris, France! More information: https://www.pcronline.com/Courses/PCR-Clinical-Research
Views: 51 PCR
Systematic Reviews and Meta-Analyses: The Importance of the Literature Search
 
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A rigorous systematic review begins with an exhaustive, systemtic literature search. This video describes the components to look for in the methodology section of a systematic review and/or meta-analysis that show the review is based on a high quality literature search.