Description Usage Arguments Value References Examples
Simulate Data from Cox Cure Model with Uncertain Event Status
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 
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., Luo, C., Aseltine, R. H., Wang, F., Yan, J., & Chen, K. (2020). Suicide Risk Modeling with Uncertain Diagnostic Records. arXiv preprint arXiv:2009.02597.
1  ## see examples of function cox_cure

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.