Application of resampling techniques to estimate exact significance levels for covariate selection during nonlinear mixed effects model building: Some inferences

Pharmaceutical Research

Volumn 19, Issue 1, 2002, Pages 92-98

  Gobburu, J V S ^a   Lawrence, J ^b  

^a Center for Drug Evaluation and Research   (United States)

^b CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

Covariate selection; Hypothesis testing; Mixed effects modeling; Resampling

Indexed keywords

ARTICLE; COMPUTER SIMULATION; COVARIANCE; DOSE CALCULATION; INDIVIDUALIZATION; MODEL; NONLINEAR SYSTEM; PHARMACOKINETICS; PRIORITY JOURNAL;

ADOLESCENT; ANTICONVULSANTS; CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; NONLINEAR DYNAMICS; PHARMACOLOGY;

EID: 0036145291     PISSN: 07248741     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013615701857     Document Type: Article

References (11)

1. Role of population pharmacokinetics in drug development. A pharmaceutical industry perspective
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3. Permuation versus bootstrap significance tests in multiple regression and ANOVA
4. Nonstochastic interpretation of reported significance levels
5. Assessment of actual significance levels for covariate effects in NONMEM
6. Evaluating the properties of statistical tests through simulations
7. Utilization of PK/PD modeling and simulation in regulatory considerations