EWT: Expected win time

In wintime: Win Time Methods for Time-to-Event Data in Clinical Trials

Expected win time

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.

Usage

EWT(
  m,
  dist_state0,
  dist_state1,
  unique_event_times0,
  unique_event_times1,
  nunique_event_times0,
  nunique_event_times1
)

Arguments

m	The number of events in the hierarchy.
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()).

Value

The expected win time of the treatment arm.

wintime documentation built on Oct. 31, 2024, 5:10 p.m.