Linear model and general linear model with applications. Multivariate normal distribution. Analysis of Binary Data. Logistic Regression and Generalized Linear Models (GLM). Survival Analysis. Meta-analysis and research synthesis. Configuring the query. Systematic review and search of the literature. Statistical measures used in meta-analysis (measures for binary characteristics, measures for continuous characteristics). Statistical models in meta-analysis (random effects model, fixed effects model). The general linear model in meta-analysis. Estimation of heterogeneity. Bias and diagnostics in meta-analysis. Meta-regression. Multivariate meta-analysis and the multivariate normal distribution. Meta-analysis of genetic data. Meta-analysis of diagnostic tests. Meta-analysis of multiple outcomes and multiple risk factors. A unified look at meta-analysis (linear mixed models). Case studies. Software and applications.