testiscancer: Simulated testis cancer data using a cure model
In curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
testiscancer R Documentation
Simulated testis cancer data using a cure model
Description
Simulated dataset of 2000 individuals as in Boussari et al. (2020),
following setting 1 sub-scenario design.
Usage
data(testiscancer)
Format
This dataset contains the following variables:
- age
Age at diagnosis
- age_cr
centered and scaled age at diagnosis
- age_classe
"<40", "40_65" and ">=65" age groups
- time_obs
Follow-up time (years)
- event
Vital status
- cumehazard
individual cumulative expected hazard
- ehazard
individual instantaneous expected hazard
- weisurvpop
individual expected survival
Examples
data(testiscancer)
summary(testiscancer)
curesurv documentation built on April 12, 2025, 2:21 a.m.
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| testiscancer | R Documentation |
Simulated testis cancer data using a cure model
Description
Simulated dataset of 2000 individuals as in Boussari et al. (2020), following setting 1 sub-scenario design.
Usage
data(testiscancer)
Format
This dataset contains the following variables:
- age
Age at diagnosis
- age_cr
centered and scaled age at diagnosis
- age_classe
"<40", "40_65" and ">=65" age groups
- time_obs
Follow-up time (years)
- event
Vital status
- cumehazard
individual cumulative expected hazard
- ehazard
individual instantaneous expected hazard
- weisurvpop
individual expected survival
Examples
data(testiscancer)
summary(testiscancer)
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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