Semiparametric estimation exploiting covariate independence in two-phase randomized trials

Biometrics

Volumn 65, Issue 1, 2009, Pages 178-187

  Dai, James Y ^a   LeBlanc, Michael ^a,b   Kooperberg, Charles ^a,b  

^a USA   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Case only estimator; Estimated likelihood; Gene environment independence; Newton Raphson algorithm; Profile likelihood; Treatment biomarker interactions

Indexed keywords

BIOMARKERS; DIFFERENTIATION (CALCULUS); EFFICIENCY; MAXIMUM LIKELIHOOD ESTIMATION; NEWTON-RAPHSON METHOD;

CASE-ONLY ESTIMATOR; COVARIATES; ESTIMATED LIKELIHOOD; GENE-ENVIRONMENT INDEPENDENCE; MAXIMUM-LIKELIHOOD ESTIMATE; NEWTON-RAPHSON ALGORITHM; PROFILE LIKELIHOOD; SEMI PARAMETRIC ESTIMATION; SEMIPARAMETRIC; TREATMENT-BIOMARKER INTERACTION;

GENES;

BIOLOGICAL MARKER;

ALGORITHM; BIOMARKER; COVARIANCE ANALYSIS; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL METHOD; OPTIMIZATION;

ALGORITHM; ARTICLE; COVARIANCE; EMPIRICISM; HUMAN; MAXIMUM LIKELIHOOD METHOD; OUTCOME ASSESSMENT; PARAMETRIC TEST; RANDOMIZED CONTROLLED TRIAL; SAMPLING; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING;

EID: 62749096813     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01046.x     Document Type: Article

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