corPFSOS: Correlation of PFS and OS event times for data from the IDM

In simIDM: Simulating Oncology Trials using an Illness-Death Model

Correlation of PFS and OS event times for data from the IDM

Description

Correlation of PFS and OS event times for data from the IDM

Usage

corPFSOS(
  data,
  transition,
  bootstrap = TRUE,
  bootstrap_n = 100,
  conf_level = 0.95
)

Arguments

data	(data.frame) in the format produced by getOneClinicalTrial().
transition	(TransitionParameters object) specifying the assumed distribution of transition hazards. Initial parameters for optimization can be specified here. See exponential_transition() or weibull_transition() for details.
bootstrap	(flag) if TRUE computes confidence interval via bootstrap.
bootstrap_n	(count) number of bootstrap samples.
conf_level	(proportion) confidence level for the confidence interval.

Value

The correlation of PFS and OS.

Examples

transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
data <- getClinicalTrials(
  nRep = 1, nPat = c(100), seed = 1234, datType = "1rowTransition",
  transitionByArm = list(transition), dropout = list(rate = 0.5, time = 12),
  accrual = list(param = "intensity", value = 7)
)[[1]]
corPFSOS(data, transition = exponential_transition(), bootstrap = FALSE)
## Not run: 
corPFSOS(data, transition = exponential_transition(), bootstrap = TRUE)

## End(Not run)

simIDM documentation built on May 29, 2024, 6:38 a.m.