# infert

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## Visual Summaries

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## 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

 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)
}

All Public Datasets File Size
Test 394 bytes
Q1 332 bytes
prova_Correlatio 593 bytes
profva
test 332 bytes
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