A practical introduction to methods for the analysis of repeated measures data, including continuous and binary outcomes. Topics include: longitudinal study designs, models for two measurements, ...

Why yes, I can do longitudinal data analysis Because I'm not really all that busy (sarcasm drips here), it's fallen to me to figure out what is happening to our MCAS scores.

Repeated measures allow researchers to monitor how participants change over time. These repeated measures are correlated and require appropriate statistical modelling. In this course, you will ...

Case-control studies for longitudinal data are considered. Among repeated binary measurements of disease status in each subject, the exposure levels of risk factors for all diseased cases are ...

Data analysis was conducted within each cohort, defined as: cohort 1, time of diagnosis; cohort 2, period of indolent disease; cohort 3, time of tumor progression; cohort 4, during a treatment course; ...

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In analysis of binary data from clustered and longitudinal studies, random effect models have been recently developed to accommodate two-level problems such as subjects nested within clusters or ...

A practical introduction to methods for the analysis of repeated measures data, including continuous and binary outcomes. Topics include: longitudinal study designs, models for two measurements, ...