EFM {ATbounds}R Documentation

EFM

Description

The electronic fetal monitoring (EFM) and cesarean section (CS) dataset from Neutra, Greenland, and Friedman (1980) consists of observations on 14,484 women who delivered at Beth Israel Hospital, Boston from January 1970 to December 1975. The purpose of the study is to evaluate the impact of EFM on cesarean section (CS) rates. It is found by Neutra, Greenland, and Friedman (1980) that relevant confounding factors are: nulliparity (nullipar), arrest of labor progression (arrest), malpresentation (breech), and year of study (year). The dataset provided in the R package is from the supplementary materials of Richardson, Robins, and Wang (2017), who used this dataset to illustrate their proposed methods for modeling and estimating relative risk and risk difference.

Usage

EFM

Format

A data frame with 14484 rows and 6 variables:

cesarean

Outcome: 1 if delivery was via cesarean section; 0 otherwise

monitor

Treatment: 1 if electronic fetal monitoring (EFM) was used; 0 otherwise

arrest

Covariate: 1 = arrest of labor progression; 0 otherwise

breech

Covariate: 1 = malpresentation (breech); 0 otherwise

nullipar

Covariate: 1 = nulliparity; 0 otherwise

year

Year of study: 0,...,5 (actual values are 1970,...,1975)

Source

The dataset from Neutra, Greenland, and Friedman (1980) is available as part of supplementary materials of Richardson, Robins, and Wang (2017) on Journal of the American Statistical Association website at doi: 10.1080/01621459.2016.1192546.

References

Neutra, R.R., Greenland, S. and Friedman, E.A., 1980. Effect of fetal monitoring on cesarean section rates. Obstetrics and gynecology, 55(2), pp.175-180.

Richardson, T.S., Robins, J.M. and Wang, L., 2017. On modeling and estimation for the relative risk and risk difference. Journal of the American Statistical Association, 112(519), pp.1121-1130.


[Package ATbounds version 0.1.0 Index]