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Readme file
SERIES C
 Applied Statistics
A joint model for longitudinal data profiles and associated
event risks with application to a depression study, by
F. DuBois Bowman and A. K. Manatunga
Journal of the Royal Statistical Society,
Series C, Applied Statistics, Volume
54 (2005) part 1, 301 - 316
The data are from a clinical trial that examines the effect on an
antidepressant drug (paroxetine) on depression among individuals under
treatment with interferon-alpha. Our analysis considers the treatment
effect on the joint process consisting of the response variable (Hamilton
Depression (HAM-D)) and the risk of withdrawal due to side-effects of
interferon-alpha. The variables used in our analysis are as follows:
ID - subject ID
GROUP - treatment group (paroxetine or placebo)
TIME - visit (baseline=0 days, 4=4 days, 5=8 days, 6=12 days)
HAMD - Hamilton Depression rating (Primary outcome variable)
HAMA - Hamilton Anxiety rating
NEURO - Neurotoxicity symptoms
CARROLL - Carroll Depression rating
CGI - Clinical Global Impression (physician's overall impression
of patient)
Higher scores on HAMD, HAMA, NEURO, CARROLL, and CGI reflect more
severe symptoms.
Address for correspondence:
F. DuBois Bowman
Department of Biostatistics
Rollins School of Public Health
Emory University
Atlanta
GA 30322
USA
E-mail: dbowma3@sph.emory.edu
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Journals SERIES
A
Statistics
in Society
SERIES B
Statistical
Methodology
SERIES C
Applied
Statistics
SERIES D
The
Statistician
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