Non-linear mixed effects modeling - from methodology and software development to driving implementation in drug development science.
J Pharmacokinet Pharmacodyn
; 32(2): 161-83, 2005 Apr.
Article
em En
| MEDLINE
| ID: mdl-16283536
ABSTRACT
Few scientific contributions have made significant impact unless there was a champion who had the vision to see the potential for its use in seemingly disparate areas-and who then drove active implementation. In this paper, we present a historical summary of the development of non-linear mixed effects (NLME) modeling up to the more recent extensions of this statistical methodology. The paper places strong emphasis on the pivotal role played by Lewis B. Sheiner (1940-2004), who used this statistical methodology to elucidate solutions to real problems identified in clinical practice and in medical research and on how he drove implementation of the proposed solutions. A succinct overview of the evolution of the NLME modeling methodology is presented as well as ideas on how its expansion helped to provide guidance for a more scientific view of (model-based) drug development that reduces empiricism in favor of critical quantitative thinking and decision making.
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Base de dados:
MEDLINE
Assunto principal:
Farmacologia
/
Software
/
Farmacocinética
/
Modelos Estatísticos
/
Dinâmica não Linear
Tipo de estudo:
Guideline
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2005
Tipo de documento:
Article