Literature DB >> 7052152

On testing for a constant hazard against a change-point alternative.

D E Matthews, V T Farewell.   

Abstract

A frequently recurring question posed by leukemia researchers concerns a test of a constant failure rate against the alternative of a failure rate involving a single change-point. In answer to this question, a likelihood ratio test appropriate for the stated alternative is derived and simulated. Consideration is given also to tests based on alternatives in the log gamma family, which perform quite well when the change-point model is correct. A practical application is given.

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Year:  1982        PMID: 7052152

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  10 in total

1.  Estimation of a change point in a hazard function based on censored data.

Authors:  Irène Gijbels; Ulkü Gürler
Journal:  Lifetime Data Anal       Date:  2003-12       Impact factor: 1.588

2.  Temporal changes in survival after cardiac surgery are associated with the thirty-day mortality benchmark.

Authors:  Bryan G Maxwell; Jim K Wong; D Craig Miller; Robert L Lobato
Journal:  Health Serv Res       Date:  2014-04-09       Impact factor: 3.402

3.  Nonparametric change point estimation for survival distributions with a partially constant hazard rate.

Authors:  Alessandra R Brazzale; Helmut Küchenhoff; Stefanie Krügel; Tobias S Schiergens; Heiko Trentzsch; Wolfgang Hartl
Journal:  Lifetime Data Anal       Date:  2018-04-05       Impact factor: 1.588

4.  Detecting multiple change points in piecewise constant hazard functions.

Authors:  Melody S Goodman; Yi Li; Ram C Tiwari
Journal:  J Appl Stat       Date:  2011-03-09       Impact factor: 1.404

5.  Improved survival modeling in cancer research using a reduced piecewise exponential approach.

Authors:  Gang Han; Michael J Schell; Jongphil Kim
Journal:  Stat Med       Date:  2013-07-30       Impact factor: 2.373

6.  Change point-cure models with application to estimating the change-point effect of age of diagnosis among prostate cancer patients.

Authors:  Megan Othus; Yi Li; Ram Tiwari
Journal:  J Appl Stat       Date:  2012-03-12       Impact factor: 1.404

7.  Estimation in the single change-point hazard function for interval-censored data with a cure fraction.

Authors:  Bing Wang; Xiaoguang Wang; Lixin Song
Journal:  J Appl Stat       Date:  2019-06-27       Impact factor: 1.416

8.  A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers.

Authors:  Qing Li; Feng Guo; Inyoung Kim; Sheila G Klauer; Bruce G Simons-Morton
Journal:  J Appl Stat       Date:  2017-02-10       Impact factor: 1.404

9.  Evaluation of risk change-point for novice teenage drivers.

Authors:  Qing Li; Feng Guo; Sheila G Klauer; Bruce G Simons-Morton
Journal:  Accid Anal Prev       Date:  2017-09-04

10.  Mixture distributions in multi-state modelling: some considerations in a study of psoriatic arthritis.

Authors:  Aidan G O'Keeffe; Brian D M Tom; Vernon T Farewell
Journal:  Stat Med       Date:  2012-07-26       Impact factor: 2.373

  10 in total

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