Detecting pulsatile hormone secretions using nonlinear mixed effects partial spline models

Biometrics

Volumn 62, Issue 1, 2006, Pages 230-238

  Yang, Yu Chieh ^a   Liu, Anna ^b   Wang, Yuedong ^c  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Endocrinology; Hormone data; Model selection; Random effects; Semiparametric nonlinear mixed effects model; Shrinkage; Smoothing spline

Indexed keywords

CELL SIGNALING; ENDOCRINOLOGY; HORMONES; NONLINEAR ANALYSIS; PARAMETER ESTIMATION; PHYSIOLOGY; RANDOM PROCESSES;

HORMONE DATA; MIXED EFFECTS MODELS; MODEL SELECTION; NONLINEAR MIXED EFFECTS; PULSATILES; PULSE DETECTION; RANDOM EFFECTS; SEMIPARAMETRIC; SEMIPARAMETRIC NONLINEAR MIXED EFFECT MODEL; SMOOTHING SPLINE;

SHRINKAGE;

HORMONE;

ARTICLE; EVALUATION; NONLINEAR SYSTEM; PULSATILE HORMONE RELEASE; SIMULATION; STATISTICAL ANALYSIS;

EID: 33645051440     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00403.x     Document Type: Article

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