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eventTrack (version 1.0.4)

piecewiseExp_test_changepoint: 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)

Value

A data.frame containing the sequential test results.

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.

Author

Kaspar Rufibach (maintainer)
kaspar.rufibach@roche.com

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

Run this code
# see vignette

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