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
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,
...
)
a data frame with the threshold, endpoint estimates and profile confidence intervals
excess time of the event of follow-up time, depending on the value of event
ending excess time of the interval for interval censored data only.
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.
vector of thresholds
character string specifying the type of censoring. Possible values are "right
", "left
", "interval
", "interval2
".
lower truncation limit, default to NULL
upper truncation limit, default to NULL
weights for observations
mandatory vector of endpoints at which to compute the profile
logical; if TRUE
, return a level
confidence interval instead of a list with the profile log-likelihood components
numeric; the level for the confidence intervals
a named list specifying default arguments of the function that are common to all elife
calls
logical; if TRUE
, return a plot
additional parameters, currently ignored