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Name:

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.

Variables:

A data frame with 4028 observations on the following 10 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

Link To Google Sheets:

Rows:

4028

Columns:

Files:

Data from the National Wilm's Tumor Study_532_86.csv

License Type:

Public Domain (CC0)

References/Notes/Attributions:

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.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Data_from_the_National_Wilm_s_Tumor_Study_532_86.csv")