lrtest function

Log-Rank Test of Survival Curve Difference

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

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.

Returns

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.

Examples

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

Author(s)

Kaifeng Lu, kaifenglu@gmail.com