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Experimental Design in Biostatistics
This lecture covers the basics of experimental design in biostatistics, including the research process, types of studies, variability sources, hypothesis testing, ANOVA modeling, and the interpretation of ANOVA results. It explains how to compare groups, handle confounders, and make inferences from controlled experiments. The lecture also discusses the importance of well-planned experiments, common designs like CRD and RBD, and the decomposition of total variation in ANOVA. Additionally, it explores the principles of hypothesis testing, parameter estimation, and the ANOVA procedure, emphasizing the significance of testing for differences in means and the interpretation of ANOVA tables.