infert

Documentation

Infertility after Spontaneous and Induced Abortion

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

Usage

infert

Format

R project statistics dataset table
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
8. stratum number 1-63

Note

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

Source

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

Examples

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)
}
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Attachment Size
dataset-91389.csv 6.56 KB

This documentation is licensed under GPLv3 or later.