| nwtco {survival} | R Documentation |
Missing data/masurement error example. Tumor histology predicts survival, but prediction is stronger with central lab histology than with the local institution determination.
nwtco
A data frame with 4028 observations on the following 9 variables.
seqnoid number
institHistology from local institution
histolHistology from central lab
stageDisease stage
studystudy
relindicator for relapse
edreltime to relapse
ageage in months
in.subcohortIncluded in the subcohort for the example in the paper
http://faculty.washington.edu/norm/software.html
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.
with(nwtco, table(instit,histol)) anova(coxph(Surv(edrel,rel)~histol+instit,data=nwtco)) anova(coxph(Surv(edrel,rel)~instit+histol,data=nwtco))