An approximate likelihood approach to nonlinear mixed effects models via spline approximation

Computational Statistics and Data Analysis

Volumn 46, Issue 4, 2004, Pages 747-776

  Ge, Zhiyu ^a   Bickel, Peter J ^b   Rice, John A ^b  

^a BRISTOL MYERS SQUIBB PHARMACEUTICAL RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Approximate likelihood; Consistency; Efficiency; Generalized estimating equation; Nonlinear mixed effects model; Population pharmacokinetics; Spline approximation

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; COMPUTER SIMULATION; ERROR ANALYSIS; NONLINEAR SYSTEMS; PHARMACOKINETICS; SPLINES; STATISTICAL METHODS;

ADDITIVE MEASUREMENT ERROR; NONLINEAR MIXED EFFECTS;

DATA REDUCTION;

DATA MANAGEMENT; MAXIMUM LIKELIHOOD ANALYSIS;

EID: 3042543274     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2003.10.011     Document Type: Article

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