mch: A cluster-randomised trial dataset for the maternal and child...

In rqlm: Modified Poisson, Logistic and Least-Squares Regressions for Binary Outcome and Their Generalizations

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.

rqlm documentation built on Nov. 23, 2025, 5:06 p.m.