nwtco: Data from the National Wilm's Tumor Study

Description Usage Format References Examples

Description

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

Usage

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nwtco
data(nwtco, package="survival")

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

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

Example output

      histol
instit    1    2
     1 3493  129
     2   76  330
Analysis of Deviance Table
 Cox model: response is Surv(edrel, rel)
Terms added sequentially (first to last)

        loglik    Chisq Df Pr(>|Chi|)    
NULL   -4666.3                           
histol -4532.5 267.6667  1    < 2e-16 ***
instit -4531.0   3.0397  1    0.08125 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Analysis of Deviance Table
 Cox model: response is Surv(edrel, rel)
Terms added sequentially (first to last)

        loglik   Chisq Df Pr(>|Chi|)    
NULL   -4666.3                          
instit -4577.5 177.714  1  < 2.2e-16 ***
histol -4531.0  92.992  1  < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

survival documentation built on April 26, 2021, 9:06 a.m.