PPT-A suite of Stata programs for network meta-analysis

UK Stata users Group London 13 th September 2013 Ian White MRC Biostatistics Unit Cambridge UK Plan Ordinary pairwise metaanalysis Multiple treatments indirect comparisons consistency inconsistency. Stata. programs for network meta-analysis. UK . Stata. users’ Group. London, 13. th. September 2013. Ian . White. MRC Biostatistics Unit, Cambridge, UK. Plan. Ordinary (. pairwise. ) meta-analysis. Roy Wada. University of Illinois at Chicago. Purpose of this presentation:. Strong demand for universal approach to systematic table-making in . Stata. Strangest advice seems . to . be coming from people with no background in empirical research. de chimiothérapie dans les cancers des . VADS: actualisation. Jean-Pierre . Pignon. , . Pierre . Blanchard, . Anne . Lee, . Laureen. . Majed. , Sophie . Marguet. , . Claire . Petit, Cécile . Landais. Andrew Bate. Senior Director, Epidemiology Group Lead, Analytics.  . PSI Conference, London. 16 May. 2017. Acknowledgements . and disclosure. Presentation is a personal perspective but contents are based on a manuscript in development “. EPI 811 Individual Presentation. Chapter 10 of . Szklo. and Nieto’s . 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).. 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 . Outline. Introduction. Two review papers. Quality control (. MetaQC. ). Meta-analysis for detecting differentially expressed genes (. MetaDE. ). Meta-analysis for detecting pathways (. MetaPath. ). 1. Introduction. A Network Meta-Analysis. Vanessa Ha, PhD Student. Supervisors: Drs. Sonia . Anand. and Russell de Souza. Complications of Gestational Diabetes Mellitus. High blood pressure. &. pre-eclampsia. Type 2 diabetes. Noori Akhtar-Danesh, PhD. McMaster University. Hamilton, Canada. E-mail: daneshn@mcmaster.ca. 2023 Stata Conference, Stanford. 2. Outline. Introduction: what is Q-methodology & how it works?. . Stata . 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. G. eovisualisation. 2009 Australian and New Zealand . Stata. Users Group meeting. 5 . November 2009. The University of Sydney, The Darlington Centre, NSW 2008. Australia . Philip S. Morrison,. Professor of Human Geography, .