PPT-Sensitivity Analysis and Meta-analysis

EPI 811 Individual Presentation Chapter 10 of Szklo and Nietos Epidemiology Beyond the Basics Anton Frattaroli Sensitivity Analysis Generally an assessment of how systematic or random errors affect an effect estimates representativeness of the actual effect the validity of the effect estimate. . James Thomas. Systematic Reviews for Complicated and Complex Questions, ESRC Methods Festival, St Catherine’s College, Oxford, 10. th. July 2014. EPPI-Centre. Social Science Research Unit. Institute of Education. 1. Sensitivity Analysis. Basic theory. Understanding optimum solution. Sensitivity analysis. Summer 2013. LP: Sensitivity Analysis. 2. Introduction to Sensitivity Analysis. Sensitivity analysis . means determining effects of changes in parameters on the solution. It is also called What if analysis, Parametric analysis, Post optimality analysis, etc,. It is not restricted to LP problems. Here is an example using Data Table.. Meta-analysis (contd.). Rita . Popat. , PhD. Clinical Associate Professor. Dept. of Health Research & Policy (Division of Epidemiology). rpopat@stanford.edu. SYSREV Series. Part 1: Literature Searching, DB Selection, Reference Management. Michael T. Brannick, University of South Florida. Workshop for Eotvos. . Lorand. University. , Budapest 2016. Meta-Analysis. What is it?. Quantitative analysis of study outcomes. A. nalysis of effect sizes. Sven . Kepes & Michael A. McDaniel. April 29, 2017. Outline. Meta-analysis . and cumulative knowledge . Sensitivity analysis. Sensitivity analysis: . Outliers. Sensitivity analysis: Publication . Jaswin Sawhney. Maine Medical Center. Portland, Maine. Introduction to Meta-Analysis. What is a systematic review? . A systematic review is a research methodology that tries to identify, select, appraise, and synthesize all research evidence relevant to a specific research question . Introduction to Meta-Analysis. Dr. Chris L. S. . Coryn. Kristin A. Hobson. Fall 2013. Agenda. Course overview. An overview of and brief introduction to meta-analysis. Selection of working groups. In-class activity. Objective. Understand the philosophy of meta-analysis and its contribution to epidemiology and science.. Understand the limitations of meta-analysis. Introduction. Systematic quantitative integration of results .  . Adalberto Miranda-Filho. 1. , . Michelle C. Turner. 2-4. , David B. Richardson. 1,5. , Bayan Hosseini. 1. , . Farin. Kamangar. 7. , . Akram. Pourshams. 6. , Vikash Sewram. 8. , . Saman. Warnakulasuriya. Outline. Introduction. Two review papers. Quality control (. MetaQC. ). Meta-analysis for detecting differentially expressed genes (. MetaDE. ). Meta-analysis for detecting pathways (. MetaPath. ). 1. Introduction. 1 - analysis Tony Hak, Henk van Rhee , & Robert Suurmond Version 1.0, March 2016 Version 1.3, Updated June 2018 Version 1 .4, Updated July 2018 Meta - analysis is a systematic method for synthesizing Sebanti Sengupta. 11/15/2017. Background. Meta-analysis an important strategy for genetic association studies. Increases sample size and power. Can lead to discovery of novel loci. Can use previously published study results. Inês Barroso. Joint Head of Human Genetics. Metabolic Disease Group Leader. Wellcome. Trust Sanger Institute. 1. Objectives. Why perform meta-analysis?. How? . What are the issues to consider?. What can you gain?. Presented by Christine R. Wells, Ph.D.. Statistical Methods and Data Analytics. UCLA Office of Advanced Research Computing. What to expect from this workshop. Definition of systematic review and meta-analysis.