alexa Covariate Modeling in Population PK/PD Models: an Open Problem | OMICS International | Abstract
ISSN: 2167-1052

Advances in Pharmacoepidemiology and Drug Safety
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Review Article

Covariate Modeling in Population PK/PD Models: an Open Problem

Davide Verotta1,2*
1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
2Department of Biostatistics, University of California, San Francisco, California, USA
*Corresponding Author : Davide Verotta, PhD
Department of Bioengineering and
Therapeutic Sciences University of California
Box 0912 San Francisco, CA 94143, USA
E-mail: [email protected]
Received November 18, 2012; Accepted November 21, 2012; Published November 23, 2012
Citation: Verotta D (2012) Covariate Modeling in Population PK/PD Models: an Open Problem. Adv Pharmacoepidem Drug Safety S1:006. doi:10.4172/2167-1052.S1-006
Copyright: © 2012 Verotta D. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Covariate Model selection for population PK/PD models represents a daunting task because of the large variety of possible alternative covariates that can enter a structural model, the different models that can express the relationship parameter/covariates, and the number of alternative models that can be considered. After describing the problem and briefly reviewing the past literature dedicated to the solution of the problem we use simulations to show the limitations of current approaches and propose an alternative based on the sequential use of Bayesian Trans Dimensional Models. Although the alternative mollifies the dimensionality problem associated with covariate selection, we argue that the overall approach to covariate modeling within PKPD models might need to be reconsidered.

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