Calculates the combined arm state space probabilities using a Markov model or a Kaplan-Meier model (recommended). This function uses these probabilities to compare each participant's clinical state to a distribution of combined arm states. Calculation is extended by redistribution-to-the-right principles and truncated at the user-specified time_restriction (days).
REWTPR(
n,
m,
nunique2,
maxfollow2,
untimes2,
Time,
Delta,
dist2,
markov_ind,
cov,
trt,
comkm,
trans_prob2,
time_restriction,
nunique1,
maxfollow1,
untimes1,
dist1,
trtkm,
trans_prob1,
nunique0,
maxfollow0,
untimes0,
dist0,
conkm,
trans_prob0,
nimp
)A list containing: The estimated treatment effect from the linear regression model, the variance, the Z-statistic, the components of the treatment effect, and the variance of the components.
The total number of trial participants.
The number of events in the hierarchy.
The number of unique combined arm event times (returned from wintime::markov() or wintime::km()).
The max combined arm follow up time (days) (returned from wintime::markov() or wintime::km()).
A vector containing unique combined arm event times (days) (returned from wintime::markov() or wintime::km()).
A m x n matrix of event times (days). Rows should represent events and columns should represent participants. Rows should be in increasing order of clinical severity.
A m x n matrix of event indicators Rows should represent events and columns should represent participants. Rows should be in increasing order of clinical severity.
A matrix of combined arm state probabilities (returned from wintime::markov() or wintime::km()).
An indicator of the model type used (1 for Markov, 0 for Kaplan-Meier).
A n x p matrix of covariate values, where p is the number of covariates.
A vector of length n containing treatment arm indicators (1 for treatment, 0 for control).
A m x nunique matrix of combined arm survival probabilities (returned from wintime::markov() or wintime::km()).
A (m x m x number of combined arm event times) matrix where (i,j,k)'th value is transition probability from state i to state j at k'th combined arm event time. (returned from wintime::markov() or wintime::km()).
The time restriction (days) for calculation.
The number of unique trt arm event times (returned from wintime::markov() or wintime::km()).
The max trt arm follow up time (days) (returned from wintime::markov() or wintime::km()).
A vector containing unique trt arm event times (days) (returned from wintime::markov() or wintime::km()).
A matrix of trt arm state probabilities (returned from wintime::markov() or wintime::km()).
A m x nunique matrix of trt arm survival probabilities (returned from wintime::markov() or wintime::km()).
A (m x m x number of trt arm event times) matrix where (i,j,k)'th value is transition probability from state i to state j at k'th trt arm event time. (returned from wintime::markov() or wintime::km()).
The number of unique control arm event times (returned from wintime::markov() or wintime::km()).
The max control arm follow up time (days) (returned from wintime::markov() or wintime::km()).
A vector containing unique control arm event times (days) (returned from wintime::markov() or wintime::km()).
A matrix of control arm state probabilities (returned from wintime::markov() or wintime::km()).
A m x nunique matrix of control arm survival probabilities (returned from wintime::markov() or wintime::km()).
A (m x m x number of control arm event times) matrix where (i,j,k)'th value is transition probability from state i to state j at k'th control arm event time. (returned from wintime::markov() or wintime::km()).
The number of random imputations.