R: Conditional logistic regression

clogit {survival} | R Documentation

## Conditional logistic regression

### Description

Estimates a logistic regression model by maximising the conditional likelihood. Uses a model formula of the form `case.status~exposure+strata(matched.set)`. The default is to use the exact conditional likelihood, a commonly used approximate conditional likelihood is provided for compatibility with older software.

### Usage

    clogit(formula, data, method=c("exact", "approximate"), na.action=getOption("na.action"), subset=NULL,control=coxph.control())

### Arguments

`formula` | Model formula
`data` | data frame
`method` | correct or approximate conditonal likelihood?
`na.action` | missing value handling
`subset` | subset of records to use
`control` | control values

### Value

An object of class `"clogit"`, which is a wrapper for a `"coxph"` object.

### Author(s)

Thomas Lumley

### See Also

`strata`,`coxph`,`glm`

### Examples

    clogit(case~spontaneous+induced+strata(stratum),data=infert)

[Package survival version 2.30 Index]