endpoint.tstab: Threshold stability plots for endpoint
In longevity: Statistical Methods for the Analysis of Excess Lifetimes

endpoint.tstab

R Documentation

Threshold stability plots for endpoint

Description

This function calls endpoint.profile to compute the endpoint with profile likelihood confidence intervals at each threshold. It then returns a data frame and a plot

Usage

endpoint.tstab(
  time,
  time2 = NULL,
  event = NULL,
  thresh = 0,
  type = c("right", "left", "interval", "interval2"),
  ltrunc = NULL,
  rtrunc = NULL,
  weights = rep(1, length(time)),
  psi = NULL,
  confint = FALSE,
  level = 0.95,
  arguments = NULL,
  plot = TRUE,
  ...
)

prof_gp_endpt(
  time,
  time2 = NULL,
  event = NULL,
  thresh = 0,
  type = c("right", "left", "interval", "interval2"),
  ltrunc = NULL,
  rtrunc = NULL,
  weights = rep(1, length(time)),
  psi = NULL,
  confint = FALSE,
  level = 0.95,
  arguments = NULL,
  ...
)

Arguments

`time`	excess time of the event of follow-up time, depending on the value of event
`time2`	ending excess time of the interval for interval censored data only.
`event`	status indicator, normally 0=alive, 1=dead. Other choices are `TRUE`/`FALSE` (`TRUE` for death). For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have experienced an event.
`thresh`	vector of thresholds
`type`	character string specifying the type of censoring. Possible values are "`right`", "`left`", "`interval`", "`interval2`".
`ltrunc`	lower truncation limit, default to `NULL`
`rtrunc`	upper truncation limit, default to `NULL`
`weights`	weights for observations
`psi`	mandatory vector of endpoints at which to compute the profile
`confint`	logical; if `TRUE`, return a `level` confidence interval instead of a list with the profile log-likelihood components
`level`	numeric; the level for the confidence intervals
`arguments`	a named list specifying default arguments of the function that are common to all `elife` calls
`plot`	logical; if `TRUE`, return a plot
`...`	additional parameters, currently ignored