NDLI: Semiparametric Distributions With Estimated Shape Parameters

Content Provider	Springer Nature Link
Author	Petersson, Klas J. F. Hanze, Eva Savic, Radojka M. Karlsson, Mats O.
Copyright Year	2009
Abstract	To investigate the use of adaptive transformations to assess the parameter distributions in population modeling.The logit, box-cox, and heavy tailed transformations were investigated. Each one was used in conjunction with the standard (exponential) transformation for PK and PD parameters. The shape parameters of these transformations were estimated to allow the parameter distributions to more accurately resemble a wider range of parameter distributions. The transformations were tested both in simulated settings where the true distributions were known and in 30 models developed from real data.In the simulated setting the transformations were better than the standard lognormal distribution at characterizing the true distributions. Improvement could also be seen in objective function value (OFV) and in simulation based diagnostics. In the real datasets, significant model improvement based on OFV could be seen in 22, 18, and 22 out of the 30 models for the three transformations respectively.Transformations with estimated shape parameters are a promising approach to relax the often erroneous assumption of a known shape of the parameter distribution. They offer a simple and straightforward way of handling and characterizing parameter distributions.
Starting Page	2174
Ending Page	2185
Page Count	12
File Format	PDF
ISSN	07248741
Journal	Pharmaceutical Research
Volume Number	26
Issue Number	9
e-ISSN	1573904X
Language	English
Publisher	Springer US
Publisher Date	2009-07-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biomedical Engineering Medical Law Biochemistry Pharmacy Pharmacology/Toxicology
Content Type	Text
Resource Type	Article
Subject	Organic Chemistry Pharmacology Molecular Medicine Pharmacology (medical) Biotechnology Pharmaceutical Science

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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