wpcdata: A Data Example to Illustrate WPC Approach.
In WPC: Weighted Predictiveness Curve
Description
Usage
Format
See Also
Description
This survival data example is to illustrate WPC approach. 90 patients are randomized into three different arms, 1 placebo and 2 treatments (high dose and low dose).
For each patient, four biomarkers are measured at baseline. Overall survival and progression free survival information are collected.
Usage
1
data("wpcdata")
Format
A data frame with 90 observations on the following 13 variables.
SUBJIDa numeric vector, indicating subject id information.
TRTAa factor, indicating three different arms, with levels HighDose LowDose Placebo
ATRTa factor, indicating whether patients receive placebo or treatment, with levels Placebo Treatment
Biomarker1a numeric vector, first biomarker with the value between 0 and 100
Biomarker2a numeric vector, second biomarker with the value between 0 and 200
Biomarker3a numeric vector, third biomarker with the value between 0 and 100
Biomarker4a numeric vector, fourth biomarker with the value between 0 and 200
OSdaya numeric vector, overall survival in days
OSmontha numeric vector, overall survival in months
OScensora numeric vector, censor information for overall survival, 0 = alive and 1 = dead
PFSdaya numeric vector, progression free survival in days
PFSmontha numeric vector, progression free survival in months
PFScensora numeric vector, censor information for progression free survival, 0 = censor and 1 = event
See Also
SoloScattorPlot, DuoScattorPlot, TrioScattorPlot
WPC documentation built on May 2, 2019, 6:52 a.m.
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Description Usage Format See Also
Description
This survival data example is to illustrate WPC approach. 90 patients are randomized into three different arms, 1 placebo and 2 treatments (high dose and low dose). For each patient, four biomarkers are measured at baseline. Overall survival and progression free survival information are collected.
Usage
1 | data("wpcdata")
|
Format
A data frame with 90 observations on the following 13 variables.
SUBJIDa numeric vector, indicating subject id information.
TRTAa factor, indicating three different arms, with levels
HighDoseLowDosePlaceboATRTa factor, indicating whether patients receive placebo or treatment, with levels
PlaceboTreatmentBiomarker1a numeric vector, first biomarker with the value between 0 and 100
Biomarker2a numeric vector, second biomarker with the value between 0 and 200
Biomarker3a numeric vector, third biomarker with the value between 0 and 100
Biomarker4a numeric vector, fourth biomarker with the value between 0 and 200
OSdaya numeric vector, overall survival in days
OSmontha numeric vector, overall survival in months
OScensora numeric vector, censor information for overall survival, 0 = alive and 1 = dead
PFSdaya numeric vector, progression free survival in days
PFSmontha numeric vector, progression free survival in months
PFScensora numeric vector, censor information for progression free survival, 0 = censor and 1 = event
See Also
SoloScattorPlot, DuoScattorPlot, TrioScattorPlot
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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