![]() This will then be the starting point to delve into more complex data structures that one may encounter in practice and to consider appropriate models for analyzing such data. We will start out by briefly reviewing standard meta-analytic models (i.e., equal/fixed-effects, random-effects, and meta-regression models), focusing on how to fit these models in R. Therefore, course participants are expected to have an understanding of standard meta-analytic techniques and methodology (see below for course prerequisites). The purpose of this course is to cover advanced methods for meta-analysis with particular emphasis on using the statistical software R. ![]()
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