nwtco

0th

Percentile

Data from the National Wilm's Tumor Study

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

Keywords
datasets
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.

Aliases
  • nwtco
Examples
# NOT RUN {
with(nwtco, table(instit,histol))
anova(coxph(Surv(edrel,rel)~histol+instit,data=nwtco))
anova(coxph(Surv(edrel,rel)~instit+histol,data=nwtco))
# }
Documentation reproduced from package survival, version 3.1-8, License: LGPL (>= 2)

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