Literature DB >> 9179979

A population approach to initial dose selection.

J Wakefield1, S Walker.   

Abstract

Before a drug can be marketed, an initial dose must be established. Sheiner et al. argue that a population approach leads to the most informed and rational decision making. We discuss the choice of an initial dose from both a predictive and estimative viewpoint. Our criteria are based upon evaluating the probabilities that a patient from the specified population obtains a response that is at least of a specified size. We demonstrate the approach using a simulation study and compare estimation of population parameters and initial dose using Bayesian and likelihood-based methods.

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Year:  1997        PMID: 9179979     DOI: 10.1002/(sici)1097-0258(19970530)16:10<1135::aid-sim517>3.0.co;2-6

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


  4 in total

1.  Estimating bias in population parameters for some models for repeated measures ordinal data using NONMEM and NLMIXED.

Authors:  Siv Jönsson; Maria C Kjellsson; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-08       Impact factor: 2.745

2.  The back-step method--method for obtaining unbiased population parameter estimates for ordered categorical data.

Authors:  Maria C Kjellsson; Siv Jönsson; Mats O Karlsson
Journal:  AAPS J       Date:  2004-08-11       Impact factor: 4.009

3.  Bayesian nonparametric population models: formulation and comparison with likelihood approaches.

Authors:  J Wakefield; S Walker
Journal:  J Pharmacokinet Biopharm       Date:  1997-04

4.  A comparison of a Bayesian population method with two methods as implemented in commercially available software.

Authors:  J E Bennett; J C Wakefield
Journal:  J Pharmacokinet Biopharm       Date:  1996-08
  4 in total

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