get_hazard_offset_weights: Compute the (Cumulative) Baseline Hazard from Cox Model with...
In semicmprskcoxmsm: Use Inverse Probability Weighting to Estimate Treatment Effect for Semi Competing Risks Data

get_hazard_offset_weights

R Documentation

Compute the (Cumulative) Baseline Hazard from Cox Model with Offsets

Compute the Breslow type baseline hazard and cumulative baseline hazard at each event time from a weighted Cox model with offsets.

get_hazard_offset_weights(fit,data,time1= NULL,time2,w)

`fit`	The results of a weighted `coxph` fit.
`data`	The original data for fitting the weighted Cox model.
`time1`	The default is `NULL`. For left truncation data, which refers to transition rate for terminal event following non-terminal events, this argument is the time to non-terminal event.
`time2`	For right censored data, this is the event time or censoring time. For left truncation data, the argument is the time to terminal event or the censoring time.
`w`	IP weights.

See also get_hazard, handles the offset term in coxph for predicting the baseline hazard.

A list contains two dataframes.

`Lambda`	See also `get_hazard`, returns a step function for cumulative baseline hazard.
`lambda`	Returns a dataframe for baseline hazard.
`cum_base_haz`	Returns a dataframe for cumulative baseline hazard.