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A POPULATION APPROACH TO INITIAL DOSE SELECTION
Author(s) -
WAKEFIELD JON,
WALKER STEPHEN
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19970530)16:10<1135::aid-sim517>3.0.co;2-6
Subject(s) - selection (genetic algorithm) , bayesian probability , population , statistics , estimation , computer science , econometrics , mathematics , machine learning , medicine , environmental health , management , economics
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. © 1997 by John Wiley & Sons, Ltd. Stat. Med., Vol. 16, 1135–1149 (1997).