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.

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-driven classification from mood course could be used to enrich sample populations for pharmacological and etiological studies.

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, ...