Literature DB >> 11129485

Tests of proportional hazards and proportional odds models for grouped survival data.

E A Colosimo1, L V Chalita, C G Demétrio.   

Abstract

In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests.

Mesh:

Year:  2000        PMID: 11129485     DOI: 10.1111/j.0006-341x.2000.01233.x

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


  2 in total

1.  Practical considerations when analyzing discrete survival times using the grouped relative risk model.

Authors:  Rachel MacKay Altman; Andrew Henrey
Journal:  Lifetime Data Anal       Date:  2017-10-11       Impact factor: 1.588

2.  Comparison of the flexible parametric survival model and Cox model in estimating Markov transition probabilities using real-world data.

Authors:  Xudong Du; Mier Li; Ping Zhu; Ju Wang; Lisha Hou; Jijie Li; Hongdao Meng; Muke Zhou; Cairong Zhu
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

  2 in total

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