EFM: EFM
In ATbounds: Bounding Treatment Effects by Limited Information Pooling

Description Usage Format Source References

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.

EFM

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)

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.

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.

ATbounds documentation built on Nov. 25, 2021, 1:06 a.m.