simData4cure {intsurv} | R Documentation |
Simulate Data from Cox Cure Model with Uncertain Event Status
simData4cure(nSubject = 1e3, shape = 2, scale = 0.1, lambda_censor = 1, max_censor = Inf, p1 = 0.9, p2 = 0.9, p3 = 0.9, survMat, cureMat = survMat, b0 = stats::binomial()$linkfun(0.7), survCoef = rep(1, ncol(survMat)), cureCoef = rep(1, ncol(cureMat)), ...)
nSubject |
A positive integer specifying number of subjects. |
shape |
A positive number specifying the shape parameter of the distribution of the event times. |
scale |
A positive number specifying the scale parameter of the distribution of the event times. |
lambda_censor |
A positive number specifying the rate parameter of the exponential distribution for generating censoring times. |
max_censor |
A positive number specifying the largest censoring time. |
p1 |
A number between 0 and 1 specifying the probability of simulating events with observed event indicators given the simulated event times. |
p2 |
A number between 0 and 1 specifying the probability of simulating susceptible censoring times with observed event status given the simulated susceptible censoring times. |
p3 |
A number between 0 and 1 specifying the probability of simulating cured censoring times with observed event status given the simulated cured censoring times. |
survMat |
A numeric matrix representing the design matrix of the survival model part. |
cureMat |
A numeric matrix representing the design matrix excluding intercept of the cure rate model part. |
b0 |
A number representing the intercept term for the cure rate model part. |
survCoef |
A numeric vector for the covariate coefficients of the survival model part. |
cureCoef |
A numeric vector for the covariate coefficients of the cure model part. |
... |
Other arguments not used currently. |
A data.frame with the following columns:
obs_time
: Observed event/survival times.
obs_event
: Observed event status.
event_time
: Underlying true event times.
censor_time
: underlying true censoring times.
oracle_event
: underlying true event indicators.
oracle_cure
: underlying true cure indicators.
case
: underlying true case labels.
Wang, W., Chen, K., Luo, C., & Yan, J. (2019+). Cox Cure Model with Uncertain Event Status with application to a Suicide Risk Study. Working in Progress.
## see examples of function cox_cure