madras: Madras Longitudinal Schizophrenia Study
In drm: Regression and association models for repeated categorical data
Description
Usage
Format
Source
References
Description
Monthly records of presence/abscence of psychiatric symptom
‘thought disorder’ of 86 patients over the first year after
initial hospitalisation for disease.
Usage
1
Format
A data frame with 1032 observations on the following 5 variables.
- id
identification number of a patient
- symptom
response ‘thought disorder’: 0 = absent, 1 = present
- month
month since hospitalisation
- age
age indicator: 0 = less than 20 years, 1 = 20 or over
- sex
sex indicator: 0 = male, 1 = female
Source
Diggle PJ, Heagerty P, Liang KY, Zeger SL (2002).
The analysis of Longitudinal Data, second ed., pp. 234-43.
Oxford University Press, Oxford.
http://faculty.washington.edu/heagerty/Books/AnalysisLongitudinal/datasets.html
References
Jokinen J. Fast estimation algorithm for likelihood-based
analysis of repeated categorical responses.
Computational Statistics and Data Analysis 2006; 51:1509-1522.
drm documentation built on May 29, 2017, 7:24 p.m.
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Description Usage Format Source References
Description
Monthly records of presence/abscence of psychiatric symptom ‘thought disorder’ of 86 patients over the first year after initial hospitalisation for disease.
Usage
1 |
Format
A data frame with 1032 observations on the following 5 variables.
- id
identification number of a patient
- symptom
response ‘thought disorder’: 0 = absent, 1 = present
- month
month since hospitalisation
- age
age indicator: 0 = less than 20 years, 1 = 20 or over
- sex
sex indicator: 0 = male, 1 = female
Source
Diggle PJ, Heagerty P, Liang KY, Zeger SL (2002). The analysis of Longitudinal Data, second ed., pp. 234-43. Oxford University Press, Oxford.
http://faculty.washington.edu/heagerty/Books/AnalysisLongitudinal/datasets.html
References
Jokinen J. Fast estimation algorithm for likelihood-based analysis of repeated categorical responses. Computational Statistics and Data Analysis 2006; 51:1509-1522.
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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