rmest: Estimate of Restricted Mean Survival Time

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Estimate of Restricted Mean Survival Time

Description

Obtains the estimate of restricted means survival time for each stratum.

Usage

rmest(
  data,
  rep = "",
  stratum = "",
  time = "time",
  event = "event",
  milestone = NA_real_,
  conflev = 0.95,
  biascorrection = 0L
)

Arguments

data	The input data frame that contains the following variables: rep: The replication for by-group processing. stratum: The stratum. time: The possibly right-censored survival time. event: The event indicator.
rep	The name of the replication variable in the input data.
stratum	The name of the stratum variable in the input data.
time	The name of the time variable in the input data.
event	The name of the event variable in the input data.
milestone	The milestone time at which to calculate the restricted mean survival time.
conflev	The level of the two-sided confidence interval for the survival probabilities. Defaults to 0.95.
biascorrection	Whether to apply bias correction for the variance estimate. Defaults to no bias correction.

Value

A data frame with the following variables:

• rep: The replication.

• stratum: The stratum variable.

• size: The number of subjects in the stratum.

• milestone: The milestone time relative to randomization.

• rmst: The estimate of restricted mean survival time.

• stderr: The standard error of the estimated rmst.

• lower: The lower bound of confidence interval if requested.

• upper: The upper bound of confidence interval if requested.

• conflev: The level of confidence interval if requested.

• biascorrection: Whether to apply bias correction for the variance estimate.

Author(s)

Kaifeng Lu, [e-mail]

Examples

rmest(data = aml, stratum = "x",
      time = "time", event = "status", milestone = 24)

lrstat documentation built on Oct. 18, 2024, 9:06 a.m.