Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction

Statistics in Medicine

Volumn 31, Issue 26, 2012, Pages 3165-3177

  Shi, J Q ^a   Wang, B ^b   Will, E J ^c   West, R M ^d  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c ST JAMES S UNIVERSITY HOSPITAL   (United Kingdom)

^d UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Functional regression analysis; Functional longitudinal data; Gaussian process functional regression model; Individual dose response curve; Management of renal anaemia; Mixed effects model; Patient specific treatment regime; Semiparametric model

Indexed keywords

NOVEL ERYTHROPOIESIS STIMULATING PROTEIN; RECOMBINANT ERYTHROPOIETIN;

ANEMIA; ARTICLE; DOSE RESPONSE; HUMAN; NONLINEAR SYSTEM; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; PARAMETRIC TEST; PREDICTION; REGRESSION ANALYSIS; RENAL ANEMIA; STATISTICAL ANALYSIS; STRUCTURAL EQUATION MODELING;

ANEMIA; BAYES THEOREM; BIOSTATISTICS; DOSE-RESPONSE RELATIONSHIP, DRUG; ERYTHROPOIETIN; HEMOGLOBINS; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; RENAL INSUFFICIENCY; STATISTICS, NONPARAMETRIC;

EID: 84867501400     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4502     Document Type: Article

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