infert

From datasets v3.3.1 by R-core R-core@R-project.org

Infertility after Spontaneous and Induced Abortion

This is a matched case-control study dating from before the availability of conditional logistic regression.

Keywords: datasets

Usage

infert

Note

One case with two prior spontaneous abortions and two prior induced abortions is omitted.

Format

1.	Education
0 = 0-5 years
	1 = 6-11 years

2 = 12+ years	2.
age	age in years of case
3.	parity
count	4.
number of prior	0 = 0
	induced abortions
1 = 1
	2 = 2 or more
5.	case status
1 = case
	0 = control
6.	number of prior
0 = 0
spontaneous abortions	1 = 1

2 = 2 or more	7.
matched set number	1-83

Source

Trichopoulos et al (1976) Br. J. of Obst. and Gynaec. 83, 645--650.

Examples

library(datasets)

require(stats)
model1 <- glm(case ~ spontaneous+induced, data = infert, family = binomial())
summary(model1)
## adjusted for other potential confounders:
summary(model2 <- glm(case ~ age+parity+education+spontaneous+induced,
                     data = infert, family = binomial()))
## Really should be analysed by conditional logistic regression
## which is in the survival package
if(require(survival)){
  model3 <- clogit(case ~ spontaneous+induced+strata(stratum), data = infert)
  print(summary(model3))
  detach()  # survival (conflicts)
}

Documentation reproduced from package datasets, version 3.3.1, License: Part of R 3.3.1

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