combine_cut: Extract unique cut points when time-dependent covariates...

In adibender/pam: Functions and Utilities for fitting Piece-wise Exponential (Additive) models

Description

Given a data frame with one row per subject containing event times and a data frame containing time points at which a time-dependent covariate changes its value, returns the unique time at which either event occurs or a time-dependent covariate changes its value.

Usage

combine_cut(event_df, tdc_df, time_var, status_var, cens_value = 0)

Arguments

event_df	A data frame (potentially) containing time-dependent covariates.
tdc_df	A data frame containing information on time-dependent variables in long format. Needs to contain a "time" variable indicating when the TDCs change their value. Must have same name as variable indicating event times in event_df.
time_var	A character, specifies the column of the event or censoring time in event_df and the time of measurement for the time-dependent covariates in tdc_df.
status_var	As time_var, but specifies column containing the event indicator. Can be missing in the tdc_df.
cens_value	The value that indicates censoring in the status_var column.

adibender/pam documentation built on May 10, 2019, 5:54 a.m.