BDIdata: BDIdata dataset
In npmlda: Nonparametric Models for Longitudinal Data
Description
Usage
Format
Details
References
Description
This dataset includes 557 depressed patients (total 7117 observations) in the cognitive
behavior therapy arm in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD)
study.
Usage
1
Format
A data frame with 7117 rows and 5 variables.
Details
ID. Subject ID
time. Study visit time (in days) since randomization
BDI. Beck Depression Inventory (BDI) score
med. Antidepressant medication use
med.time. The starting time of medication
References
Wu, C. O., Tian, X. and Bang, H. A varying-coefficient model for the
evaluation of time-varying concomitant intervention effects in longitudinal
studies. Statistics in Medicine, 27:3042-3056, 2008.
Wu, C. O., Tian, X. and Jiang, W. A shared parameter model for the
estimation of longitudinal concomitant intervention effects Biostatistics,
12(4):737-749, 2011.
npmlda documentation built on May 2, 2019, 12:54 a.m.
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Description Usage Format Details References
Description
This dataset includes 557 depressed patients (total 7117 observations) in the cognitive behavior therapy arm in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) study.
Usage
1 |
Format
A data frame with 7117 rows and 5 variables.
Details
ID. Subject ID
time. Study visit time (in days) since randomization
BDI. Beck Depression Inventory (BDI) score
med. Antidepressant medication use
med.time. The starting time of medication
References
Wu, C. O., Tian, X. and Bang, H. A varying-coefficient model for the evaluation of time-varying concomitant intervention effects in longitudinal studies. Statistics in Medicine, 27:3042-3056, 2008.
Wu, C. O., Tian, X. and Jiang, W. A shared parameter model for the estimation of longitudinal concomitant intervention effects Biostatistics, 12(4):737-749, 2011.
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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