piecewiseExp_test_changepoint: Wald test to infer change point in piecewise Exponential...

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

Wald test to infer change point in piecewise Exponential survival model

Description

This function implements the Wald test described in Goodman et al (2011) and applied in Fang & Zheng (2011) to infer a change point in an estimated piecewise Exponential hazard function. Adjusts for sequential testing.

Usage

piecewiseExp_test_changepoint(peMLE, alpha = 0.05)

Arguments

peMLE	Piecewise Exponential hazard function estimate, as generated by piecewiseExp_MLE.
alpha	Overall significance level. Will be adjusted for sequential testing internally, see function output.

Value

A data.frame containing the sequential test results.

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.

Examples

# see vignette

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