adherence: Data set: Simulated Pooled Repeated Measures Data
In ledell/cvAUC: Cross-Validated Area Under the ROC Curve Confidence Intervals
Description
Usage
Format
See Also
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
1
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
ledell/cvAUC documentation built on Jan. 24, 2022, 5:37 p.m.
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Description Usage Format See Also
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
1 |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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