lrtest: Log-Rank Test of Survival Curve Difference

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

Log-Rank Test of Survival Curve Difference

Description

Obtains the log-rank test using the Fleming-Harrington family of weights.

Usage

lrtest(
  data,
  rep = "",
  stratum = "",
  treat = "treat",
  time = "time",
  event = "event",
  rho1 = 0,
  rho2 = 0
)

Arguments

data	The input data frame that contains the following variables: rep: The replication for by-group processing. stratum: The stratum. treat: The treatment. 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.
treat	The name of the treatment 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.
rho1	The first parameter of the Fleming-Harrington family of weighted log-rank test. Defaults to 0 for conventional log-rank test.
rho2	The second parameter of the Fleming-Harrington family of weighted log-rank test. Defaults to 0 for conventional log-rank test.

Value

A data frame with the following variables:

• uscore: The numerator of the log-rank test statistic.

• vscore: The variance of the log-rank score test statistic.

• logRankZ: The Z-statistic value.

• logRankPValue: The one-sided p-value.

• rho1: The first parameter of the Fleming-Harrington weights.

• rho2: The second parameter of the Fleming-Harrington weights.

• rep: The replication.

Author(s)

Kaifeng Lu, [e-mail]

Examples

df <- lrtest(data = rawdata, rep = "iterationNumber",
             stratum = "stratum", treat = "treatmentGroup",
             time = "timeUnderObservation", event = "event",
             rho1 = 0.5, rho2 = 0)
head(df)

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