Presented by: 
Professor Bimal Sinal
Date: 
Wed 11 Apr, 9:30 am - 5:00 pm
Venue: 
Building 14 Room 132, St Lucia Campus, The University of Queensland

Professor Bimal Sinal from the Department of Mathematics & Statistics, University of Maryland, Baltimore County will deliver the SMA short course on Wednsday 11th April, 2018 at UQ St Lucia. Advance notice of short course with Registration details to follow. Please email carm@maths.uq.edu.au for further details. 

Statistical meta-analysis deals with a variety of sophisticated statistical methods to efficiently combine the results of several studies all with a common target. Examples of such studies abound in the literature. Some common application areas include gender studies in education, EPA studies of effects of second hand smoking on women, and controlled or comparative trials in medicine and epidemiology. In this course, we will describe the basic concepts of effect size for continuous measurements as well as qualitative attributes, combination of tests and estimates of effect size, tests for homogeneity of effect sizes, fixed versus random effects model of meta-analysis, combination of Gallup polls, meta-analysis of binary data, meta-regression, and publication bias. The common data situation in meta-analysis is the availability of only published data like effect size estimate plus standard error or effect size estimate plus confidence interval. Many real data sets of this type will be presented and analyzed covering the fields of educational research and health sciences. Some computational aspects of meta-analysis using standard statistical software like R and SAS will also be demonstrated.