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Introduction Traditional Methods for Analysis of Longitudinal and Clustered Data Linear Mixed Models for Longitudinal and Clustered Data Linear Models for Non-normal Outcomes Nonparametric Methods for the Analysis of Repeatedly Measured Data Post-hoc Analysis and Adjustments for Multiple Comparisons Handling of Missing Data and Dropout in Longitudinal Studies Controlling for Covariates in Studies with Repeated Measures Assessment of Moderator and Mediator Effects Mixture Models for Trajectory Analyses Study Design and Sample Size Calculations Summary and Further Readings |