Bayesian adaptive regression splines for hierarchical data

Biometrics

Volumn 63, Issue 3, 2007, Pages 724-732

  Bigelow, Jamie L ^a   Dunson, David B ^a,b  

^a DUKE UNIVERSITY   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Adaptive regression splines; Hormones; Longitudinal data; Menstrual cycle; Mixed model; Random effects; Reversible jump MCMC

Indexed keywords

MARKOV PROCESSES;

ADAPTIVE REGRESSION SPLINE; BAYESIAN; COVARIATES; HIERARCHICAL DATA; LONGITUDINAL DATA; MENSTRUAL CYCLE; MIXED MODELING; RANDOM EFFECTS; REGRESSION SPLINES; REVERSIBLE-JUMP MCMC;

REGRESSION ANALYSIS;

ALGORITHM; BAYESIAN ANALYSIS; HIERARCHICAL SYSTEM; INTERPOLATION; MARKOV CHAIN; MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; PREGNANCY; REGRESSION ANALYSIS; SEX HORMONE; URINE; WOMENS HEALTH;

ALGORITHM; ARTICLE; BAYES THEOREM; CONCEPTION; MONTE CARLO METHOD; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PROBABILITY; PROGESTERONE URINE LEVEL;

NORTH AMERICA; NORTH CAROLINA; UNITED STATES;

EID: 34548382745     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00761.x     Document Type: Article

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