mch {rqlm} | R Documentation |
A cluster-randomised trial dataset for the maternal and child health handbook
Description
A cluster-randomised trial dataset with binomial outcome.
-
ID
: ID variable of participants. -
SOUM
: ID variable of soums (involving 18 soums). -
x
: Binary variable specifying intervention groups (1=Intervention, 0=Control). -
mage
: Mother's age. -
medu
: Mother's education (1=uneducated, 2=elementary, 3=incomplete secondary, 4=complete secondary, 5=incomplete high, 6=high (completed collage or university)). -
mmarry
: Mother's marital status (1=single, 2=married/cohabitating, 3=separated/divorce, 4=windowed/other). -
mprig1
: First pregnancy (1=Yes, 2=No). -
height
: Mother's height. -
weight
: Mother's weight. -
time
: Travel time from mother's home to antenatal care clinic. -
Y
: Outcome variable: Number of antenatal visits. -
y
: Outcome variable: Whether the number of antenatal visits is >= 6 (0 or 1). -
ses
: Quintile groups by the social-economic index (= 1, 2, 3, 4, 5).
Usage
data(mch)
Format
A data frame with 500 participants with 18 soums.
References
Mori, R., Yonemoto, N., Noma, H., et al. (2015). The Maternal and Child Health (MCH) handbook in Mongolia: a cluster-randomized, controlled trial. PloS One 10: e0119772.