strafe_datasets

Function infert

Source 
pub fn infert() -> Result<DataFrame, PolarsError>
Expand description

§Infertility after Spontaneous and Induced Abortion

§Description:

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

§Usage:

infert

§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 induced abortions
    • 0 = 0
    • 1 = 1
    • 2 = 2 or more
  5. case status
    • 1 = case
    • 0 = control
  6. number of prior spontaneous abortions
    • 0 = 0
    • 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)
}