computeStatsForLogrank: Computes the sufficient statistics needed to compute...

In safestats: Safe Anytime-Valid Inference

Computes the sufficient statistics needed to compute 'logrankSingleZ'

Description

Computes the sufficient statistics needed to compute 'logrankSingleZ'

Usage

computeStatsForLogrank(
  survDataFrame,
  y0Index,
  y1Index,
  timeNow,
  timeBefore,
  survType = "right",
  ...
)

Arguments

survDataFrame	a 'Surv' object converted to a matrix, then to a data.frame
y0Index	vector of integers corresponding to the control group
y1Index	vector of integers corresponding to the treatment group
timeNow	numeric, current time
timeBefore	numeric, previous time
survType	character, either "right" or "counting" (left truncated, right censored)
...	further arguments to be passed to or from methods.

Value

Returns a list containing at least the following components:

obs0

number of observations in the control group.

obs1

number of observations in the treatment group.

y0

total number of participants in the control group.

y1

total number of participants in the treatment group.

#'

Examples

data <- generateSurvData(nP = 5,
                         nT = 5,
                         lambdaP = 0.03943723,
                         lambdaT = 0.5*0.03943723,
                         endTime = 40,
                         seed = 2006)

survObj <- survival::Surv(data$time, data$status)

survDataFrame <- as.data.frame(as.matrix(survObj))
y0Index <- which(data$group=="P")
y1Index <- which(data$group=="T")

timeNow <- 4
timeBefore <- 0

computeStatsForLogrank(survDataFrame, y0Index, y1Index, timeNow, timeBefore)

timeNow <- 13
timeBefore <- 4

computeStatsForLogrank(survDataFrame, y0Index, y1Index, timeNow, timeBefore)

safestats documentation built on Nov. 24, 2022, 5:07 p.m.