Join us for this exciting workshop, presented by Professor Bimal Sinha and Professor Suhail A Doi on 16-17 June 2015 at the University of Southern Queensland, Ipswich Campus.
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, analysis of one-way random effects models, 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 analysed 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 mentioned. To find out more, please click here.