adherence {cvAUC}

Data set: Simulated Pooled Repeated Measures Data

Description

This is a simulated pooled repeated measures data set of patient medication adherence summaries with a binary outcome. The independent units are the patients, and each patient has one or more measurements made at different time points in treatment, each associated with a binary outcome that could represent a diagnostic test result. This data set is meant to be used with the ci.pooled.cvAUC function.

Usage

data(adherence)

Format

A data frame. The first column, id, is the patient id. Columns 2-5 represent medication adherence (as a percentage) averaged over the past 2, 7, 14, 21 and 28 days, respectively. The last column is a binary outcome that could represent a test result.

See Also

ci.pooled.cvAUC