Online Program

Saturday, February 20
CS23 Data Synthesis and Meta-Analysis Sat, Feb 20, 11:00 AM - 12:30 PM

Meta-Analysis Using R (303108)

*Din Chen, University of North Carolina at Chapel Hill 

Keywords: Meta-analysis; fixed-effects; random-effects

It is natural, rather than the exception, that the data collected to address the same/similar scientific question come from diverse sources (such as, multi-center clinical trials, multi-regional intervention studies). The art and science of synthesizing information from diverse sources to draw a more effective inference is generally referred to as systematic reviews or meta-analysis. The statistical meta-analysis is to analyze the data quantitatively from the systematic reviews to draw a more powerful statistical inference. This talk will start with an overview to meta-analysis with summary statistics on both fixed-effects and random-effects models to incorporate within/between-study variations. and further discuss a research direction on relative efficiency for random-effects meta-analysis model using study-level summary statistics and individual patient-level data.