predsu_pred_all: Predict All

In olssol/predSurv: Predict survival outcomes based on interim data

Description

Predict survival time conditioning on censoring time based on interval probabilities

Usage

predsu_pred_all(
  dta,
  censor_event = "Dead",
  censor_lfu = "Lost to follow up",
  censor_ana = "Censored at analysis",
  v_enroll = "Time_Enroll",
  v_event = "T_Event",
  v_censor = "Ind_Censor",
  t_ana = 0.75,
  t_enrollment = 1,
  t_next_ana = 2,
  n_to_enroll = 15,
  ...
)

Arguments

dta	Survival dataset
censor_event	Level of censor indicator corresponding to event
censor_lfu	Level of censor indicator corresponding to censored due to lost to follow up
censor_ana	Level of censor indicator corresponding to censored due to analysis time occur first
v_enroll	Column name for enrollment time (starting from 0 when the study started)
v_event	Column name for event or censoring time
v_censor	Column name for censoring indicator
t_ana	Time of the current (interim) analysis (starting from 0 when the study stared)
t_enrollment	Duration of enrollment (starting from 0 when the study stared). Bigger than t_ana if need to enroll more patients
t_next_ana	Time for the next analysis (starting from 0 when the study stared)
n_to_enroll	Number of patients to be enrolled from the time of the interim analysis to the time enrollment will finish

Value

A data frame with the following new columns. Pred_T_Event: predicted event or censoring time; Pred_Ind_Censor: predicted censoring status; Pred_T_Surv: predicted survival time

olssol/predSurv documentation built on Dec. 22, 2021, 4:22 a.m.