covrmst {lrstat} | R Documentation |
Covariance between restricted mean survival times
Description
Obtains the covariance between restricted mean survival times at two different time points.
Usage
covrmst(
t2 = NA_real_,
tau1 = NA_real_,
tau2 = NA_real_,
allocationRatioPlanned = 1,
accrualTime = 0L,
accrualIntensity = NA_real_,
piecewiseSurvivalTime = 0L,
lambda1 = NA_real_,
lambda2 = NA_real_,
gamma1 = 0L,
gamma2 = 0L,
accrualDuration = NA_real_,
maxFollowupTime = NA_real_
)
Arguments
t2 |
The calendar time for analysis 2. |
tau1 |
The milestone time for analysis 1. |
tau2 |
The milestone time for analysis 2. |
allocationRatioPlanned |
Allocation ratio for the active treatment versus control. Defaults to 1 for equal randomization. |
accrualTime |
A vector that specifies the starting time of
piecewise Poisson enrollment time intervals. Must start with 0, e.g.,
|
accrualIntensity |
A vector of accrual intensities. One for each accrual time interval. |
piecewiseSurvivalTime |
A vector that specifies the starting time of
piecewise exponential survival time intervals. Must start with 0, e.g.,
|
lambda1 |
A vector of hazard rates for the event for the active treatment group. One for each analysis time interval. |
lambda2 |
A vector of hazard rates for the event for the control group. One for each analysis time interval. |
gamma1 |
The hazard rate for exponential dropout, or a vector of hazard rates for piecewise exponential dropout for the active treatment group. |
gamma2 |
The hazard rate for exponential dropout, or a vector of hazard rates for piecewise exponential dropout for the control group. |
accrualDuration |
Duration of the enrollment period. |
maxFollowupTime |
Follow-up time for the first enrolled subject.
For fixed followup, |
Value
The covariance between the restricted mean survival times for each treatment group.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
covrmst(t2 = 25, tau1 = 16, tau2 = 18, allocationRatioPlanned = 1,
accrualTime = c(0, 3), accrualIntensity = c(10, 20),
piecewiseSurvivalTime = c(0, 6),
lambda1 = c(0.0533, 0.0309), lambda2 = c(0.0533, 0.0533),
gamma1 = -log(1-0.05)/12, gamma2 = -log(1-0.05)/12,
accrualDuration = 12, maxFollowupTime = 30)