wintime (version 0.4.0)

RMT: Restricted mean survival in favor of treatment

Description

Calculates the state space probabilities using a Kaplan-Meier model (recommended) or a Markov model. This function uses these probabilities to compare both arms and calculate the expected win time of the treatment arm up to a given time point.

Usage

RMT(
  m,
  time_restriction,
  dist_state0,
  dist_state1,
  unique_event_times0,
  unique_event_times1,
  nunique_event_times0,
  nunique_event_times1
)

Value

A list containing: The restricted mean survival in favor of the treatment arm, the components of the treatment effect.

Arguments

m

The number of events in the hierarchy.

time_restriction

The cutoff time point (days) for the calculation.

dist_state0

A matrix of control arm state probabilities (returned from wintime::km() or wintime::markov()).

dist_state1

A matrix of treatment arm state probabilities (returned from wintime::km() or wintime::markov()).

unique_event_times0

A vector of unique control arm event times (days) (returned from wintime::km() or wintime::markov()).

unique_event_times1

A vector of unique treatment arm event times (days) (returned from wintime::km() or wintime::markov()).

nunique_event_times0

The number of unique control arm event times (returned from wintime::km() or wintime::markov()).

nunique_event_times1

The number of unique treatment arm event times (returned from wintime::km() or wintime::markov()).