Literature DB >> 25100164

From model building to validation and back: a plea for robustness.

Hans C van Houwelingen1.   

Abstract

This paper is the written version of the President's invited lecture speaker at the International Society for Clinical Biostatistics conference in Munich in 2013. The paper takes the stand of clinician and patient who are in need of a reliable prognostic model for the planning of treatment and patient care during the follow-up after the initial treatment. The paper discusses (i) the need for grouping of data; (ii) the lack of robustness of the Cox model; (iii) the robust approach to repeated measures; and (iv) the robust handling of time-dependent covariates (biomarkers) in dynamic survival analysis.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  model building; prognostic model; robustness; validation

Mesh:

Year:  2014        PMID: 25100164     DOI: 10.1002/sim.6282

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

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Journal:  Lifetime Data Anal       Date:  2018-03-03       Impact factor: 1.588

2.  Commentary to the paper by Walter Dempsey and Peter McCullagh.

Authors:  Hans C van Houwelingen
Journal:  Lifetime Data Anal       Date:  2018-07-18       Impact factor: 1.588

3.  Derivation and validation of the Rapid Assessment of Dementia Risk (RADaR) for older adults.

Authors:  Ana W Capuano; Raj C Shah; Paul Blanche; Robert S Wilson; Lisa L Barnes; David A Bennett; Zoe Arvanitakis
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.752

4.  State of the art in selection of variables and functional forms in multivariable analysis-outstanding issues.

Authors:  Willi Sauerbrei; Aris Perperoglou; Matthias Schmid; Michal Abrahamowicz; Heiko Becher; Harald Binder; Daniela Dunkler; Frank E Harrell; Patrick Royston; Georg Heinze
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  4 in total

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