piecewiseExp_profile_loglik_tau: Profile maximum log-likelihood function for change points in...

In eventTrack: Event Prediction for Time-to-Event Endpoints

Profile maximum log-likelihood function for change points in piecewise Exponential survival model

Description

In a piecewise Exponential survival model, the estimates for the value of the hazard function can be given explicitly, see Fang and Su (2011), and can be computed using lambda_j_Exp. The values of the change points can then be computed using the profile log-likelihood function. The function piecewiseExp_profile_loglik_tau computes the value of this profile log-likelihood function and can be used together with optim to compute the change points \tau_1, \ldots, \tau_{k}.

Usage

piecewiseExp_profile_loglik_tau(tau, time, event)

Arguments

tau	Single number or vector with values of change points.
time	Event times, censored or observed, in months.
event	Censoring indicator, 1 for event, 0 for censored.

Value

Value of the profile likelihood function.

Note

This function is not intended to be invoked by the end user.

Author(s)

Kaspar Rufibach (maintainer)
[e-mail]

References

Fang, L., Zheng, S. (2011). A hybrid approach to predicting events in clinical trials with time-to-event outcomes. Contemp. Clin. Trials, 32, 755–759.

Goodman, M.S., Li, Y., Tiwari, R.C. (2011). Detecting multiple change points in piecewise constant hazard functions. J. Appl. Stat, 38(11), 2523–2532.

eventTrack documentation built on April 4, 2025, 2:34 a.m.