R Dataset / Package survival / nwtco

On this R-data statistics page, you will find information about the nwtco data set which pertains to Data from the National Wilm's Tumor Study. The nwtco data set is found in the survival R package. You can load the nwtco data set in R by issuing the following command at the console data("nwtco"). This will load the data into a variable called nwtco. If R says the nwtco data set is not found, you can try installing the package by issuing this command install.packages("survival") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the nwtco R data set. The size of this file is about 113,680 bytes.

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))

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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