tsdata_scc {TreatmentSelection}

sample stratified nested case-control data for R package TreatmentSelection

Description

Simulated stratified case-control data set consisting of two continuous markers, two discrete markers, treatment, and event status.

Usage

data(tsdata)

Format

A data frame with 468 observations reflecting a 1:1 stratified case control subcohort sample from the tsdata dataset. Observations are stratified on treatment status. See ?tsdata for the clinical context these data were simulated under.

trt

a numeric vector distinguishing chemotherapy-treated individuals (trt = 1) vs individuals treated with tamoxifen alone (trt = 0)

event

a numeric vector indicating event status (1 for recurrence or death within 5 years, 0 otherwise)

Y1

a numeric vector of values for marker 1. This marker has relatively weak performance.

Y2

a numeric vector of values for marker 2. This marker has strong performance.

Y1_disc

a discrete version of marker 1, coded 1 if Y1 > mean(Y1) and 0 otherwise.

Y2_disc

a discrete version of marker 2, coded 1 if Y2 > 0, and 0 otherwise.

Note

In order to evaluate the markers in this dataset, we need to provide the function trtsel with information from the full cohort tsdata. See the example below for help.

References

Janes, Holly; Brown, Marshall D; Pepe, Margaret; Huang, Ying; "An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection" The International Journal of Biostatistics. Volume 0, Issue 0, ISSN (Online) 1557-4679, ISSN (Print) 2194-573X, DOI: 10.1515/ijb-2012-0052, April 2014

See Also

trtsel for creating trtsel objects, plot.trtsel for plotting risk curves and more, evaluate.trtsel for evaluating marker performance, calibrate.trtsel for assessing model calibration, and compare.trtsel to compare two trtsel object.