nwtco {survival} | R Documentation

## Data from the National Wilm's Tumor Study

### Description

Measurement error example. Tumor histology predicts survival, but prediction is stronger with central lab histology than with the local institution determination.

### Usage

    nwtco

### Format

A data frame with 4028 observations on the following 9 variables.

`seqno`

  id number

`instit`

  Histology from local institution

`histol`

  Histology from central lab

`stage`

  Disease stage

`study`

  study

`rel`

  indicator for relapse

`edrel`

  time to relapse

`age`

  age in months

`in.subcohort`

  Included in the subcohort for the example in the paper

### References

NE Breslow and N Chatterjee (1999), Design and analysis of two-phase studies with binary outcome applied to Wilms tumour prognosis. Applied Statistics 48, 457–68.

### Examples

    with(nwtco, table(instit,histol))
    anova(coxph(Surv(edrel,rel)~histol+instit,data=nwtco))
    anova(coxph(Surv(edrel,rel)~instit+histol,data=nwtco))

[Package survival version 2.40-1 Index]