Shape-Invariant Modeling of Circadian Rhythms with Random Effects and Smoothing Spline ANOVA Decompositions

Biometrics

Volumn 59, Issue 4, 2003, Pages 804-812

  Wang, Yuedong ^a   Ke, Chunlei ^b   Brown, Morton B ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ST JUDE MEDICAL   (United States)

^c UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Biological rhythm; Repeated measures data; Self modeling nonlinear regression model; Semi parametric nonlinear mixed effects model

Indexed keywords

PHYSIOLOGICAL MODELS; RANDOM PROCESSES; REGRESSION ANALYSIS;

BIOLOGICAL RHYTHM; MEASURE DATA; MIXED EFFECTS MODELS; NONLINEAR MIXED EFFECTS; NONLINEAR REGRESSION MODELS; REPEATED MEASURE DATA; REPEATED MEASURES; SELF-MODELING NONLINEAR REGRESSION MODEL; SEMI-PARAMETRIC NONLINEAR MIXED EFFECT MODEL; SEMIPARAMETRIC;

ANALYSIS OF VARIANCE (ANOVA);

HYDROCORTISONE;

CIRCADIAN RHYTHM;

ARTICLE; BIOLOGICAL RHYTHM; CIRCADIAN RHYTHM; CONTROLLED STUDY; CUSHING DISEASE; HUMAN; HYDROCORTISONE BLOOD LEVEL; MAJOR DEPRESSION; NONLINEAR SYSTEM; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STRESS;

EID: 0346733317     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2003.00094.x     Document Type: Article

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