motherStress: Mother's Stress and Children's Morbidity Study

In mmm: an R package for analyzing multivariate longitudinal data with multivariate marginal models

Description

A data frame with 2004 observations on the following 14 variables. motherStress is a longitudinal dataset which includes daily information of the participants. There are 167 mothers and children enrolled in the study.

Usage

data(motherStress)

Format

The details of the columns of the data frame are given below.

id

a vector for subject id

stress

a vector for mother's stress at time t:1=presence, 0=absence

illness

a vector for children's illness at time t: 1=presence, 0=absence

married

a vector for marriage status of mother: 1=married, 0=other

education

a vector for mother's education level: 0=high school or less, 1=high school graduate

employed

a numeric vector for mother's employment status: 1=employed, 0=unemployed

chlth

a vector for children's health status at baseline: 0=very poor/poor, 1=fair, 2=good, 3=very good

mhlth

a vector for mother's health status at baseline: 0=very poor/poor, 1=fair, 2=good, 3=very good

race

a vector for child's race: 1=non-white, 0=white

csex

a vector for child's gender: 1=female, 0=male

housize

a vector for the size of the household: 0=2-3 people, 1=more than 3 people

bstress

a vector for the baseline stress for the period of day 1 to 16; calculated as the mean of the stress status of the subjects in the period of day 1 to 16

billness

a vector for the baseline illness for the period of day 1 to 16; calculated as the mean of the illness status of the subjects in the period of day 1 to 16

week

a numeric vector for time: (day-22)/7

Details

The original data contains the information of the mothers and children in the study for 28 days. Because of the weak serial correlation in the period of day 1 to 16, it is ignored. Only the period of day 17 to 28 is included here. To catch the specific characteristic of the mothers and children, the averages of the stress and illness status of them are added as new covariates; bstress and billness. While the covariates have no missing observation, responses have very low percentages of missing values, 0.97

Source

http://faculty.washington.edu/heagerty/Books/AnalysisLongitudinal/datasets.html

References

Alexander, C. S., Markowitz, R. (1986). Maternal employment and use of pediatric clinic services. Medical Care, 24(2), 134-147.

Diggle, P. J., Heagerty, P., Liang, K. Y., Zeger, S. L. (2002). Analysis of Longitudinal Data. New York: Oxford University Press.

Zeger, S. L., Liang, K. L (1986). Longitudinal data analysis for discrete and continous outcomes. Biometrics, 42, 121-130.

Examples

data(motherStress)
head(motherStress,10)
require(graphics)
mosaicplot(~motherStress$employed+motherStress$housize+motherStress$stress,color=TRUE)

Example output

Loading required package: gee
     id stress illness married education employed chlth mhlth race csex housize
1  1021      0       0       0         0        0     2     2    1    1       0
2  1021      0       0       0         0        0     2     2    1    1       0
3  1021      0       0       0         0        0     2     2    1    1       0
4  1021      0       0       0         0        0     2     2    1    1       0
5  1021      0       0       0         0        0     2     2    1    1       0
6  1021      0       0       0         0        0     2     2    1    1       0
7  1021      0       1       0         0        0     2     2    1    1       0
8  1021      0       0       0         0        0     2     2    1    1       0
9  1021      0       0       0         0        0     2     2    1    1       0
10 1021      0       0       0         0        0     2     2    1    1       0
   bstress billness       week
1   0.0625        0 -0.7142857
2   0.0625        0 -0.5714286
3   0.0625        0 -0.4285714
4   0.0625        0 -0.2857143
5   0.0625        0 -0.1428571
6   0.0625        0  0.0000000
7   0.0625        0  0.1428571
8   0.0625        0  0.2857143
9   0.0625        0  0.4285714
10  0.0625        0  0.5714286

mmm documentation built on May 2, 2019, 2:48 p.m.