infert

From datasets v3.6.2 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

Examples

library(datasets)

# NOT RUN {
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
# }
# NOT RUN {
if(require(survival)){
  model3 <- clogit(case ~ spontaneous+induced+strata(stratum), data = infert)
  print(summary(model3))
  detach()  # survival (conflicts)
}
# }

Documentation reproduced from package datasets, version 3.6.2, License: Part of R 3.6.2

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