madras: Madras Longitudinal Schizophrenia Study: Thought Disorder...

In mercaldo/MMLB: Marginalized Models for Longitudinal Binary Data

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.

Format

A data frame with 922 observations on the following 5 variables.

thought

an indicator for thought disorders

age

an indicator for age-at-onset >= 20 years

gender

an indicator for female gender

month

months since hospitalization

id

a unique patient identifier

Source

ADD SOURCE

Examples

## Not run: 
# Replication of Table 4 from Schildcrout and Heagerty 2007.
data(madras)
madras2 = madras[,c('id','thought','month')]
madras2$gender = (madras$gender==0)*1 # Male
madras2$age = (madras$age==0)*1       # 1= <20

mLV        = mm(thought~month + age + gender + age:month + gender:month,
                lv.formula=~1, data=madras2,id=id)
mT         = mm(thought~month + age + gender + age:month + gender:month, 
                t.formula=~1, data=madras2,id=id)
mTLV       = mm(thought~month + age + gender + age:month + gender:month, 
                lv.formula=~1, t.formula=~1, data=madras2,id=id)
mTLV.lv.g  = mm(thought~month + age + gender + age:month + gender:month, 
                lv.formula=~gender, t.formula=~1, data=madras2,id=id)
mTLV.t.g   = mm(thought~month + age + gender + age:month + gender:month, 
                lv.formula=~1, t.formula=~gender, data=madras2,id=id)
mTLV.lvt.g = mm(thought~month + age + gender + age:month + gender:month,
                t.formula=~gender,lv.formula=~gender, 
                data=madras2,id=id)

## End(Not run)

mercaldo/MMLB documentation built on May 22, 2019, 6:51 p.m.