madras {binaryMM}

Madras Longitudinal Schizophrenia Study: Thought Disorder Subset

Description

madras contains a subset of the data from the Madras Longitudinal Schizophrenia Study, which collected monthly symptom data on 86 schizophrenia patients after their initial hospitalization. The primary question of interest is whether subjects with an older age-at-onset tend to recover more or less quickly, and whether female patients recover more or less quickly. Recovery is measured by a reduction in the presentation of symptoms.

Usage

madras

Format

A data frame with 922 rows and 5 variables:

id

integer. An indicator for thought disorders

thought

integer. COLUMN_DESCRIPTION

month

integer. Months since hospitalization

gender

integer. An indicator for female gender

age

double. An indicator for age-at-onset >= 20 years

Source

Peter Diggle, Patrick J. Heagerty, Kung-Yee Liang, and Scott L. Zeger. Analysis of longitudinal data. Oxford University Press, 2002.