Literature DB >> 24962797

Covariate selection in pharmacometric analyses: a review of methods.

Matthew M Hutmacher1, Kenneth G Kowalski.   

Abstract

Covariate selection is an activity routinely performed during pharmacometric analysis. Many are familiar with the stepwise procedures, but perhaps not as many are familiar with some of the issues associated with such methods. Recently, attention has focused on selection procedures that do not suffer from these issues and maintain good predictive properties. In this review, we endeavour to put the main variable selection procedures into a framework that facilitates comparison. We highlight some issues that are unique to pharmacometric analyses and provide some thoughts and strategies for pharmacometricians to consider when planning future analyses.
© 2014 The British Pharmacological Society.

Keywords:  all subset regression; lasso; stepwise procedures; variable selection

Mesh:

Year:  2015        PMID: 24962797      PMCID: PMC4294083          DOI: 10.1111/bcp.12451

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  23 in total

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