Design and inference for cancer biomarker study with an outcome and auxiliary-dependent subsampling

Biometrics

Volumn 66, Issue 2, 2010, Pages 502-511

  Wang, Xiaofei ^a   Zhou, Haibo ^b  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

Auxiliary variable; Biomarker; Estimated likelihood method; Kernel smoother; Outcome and auxiliary dependent subsampling

Indexed keywords

BUDGET CONTROL; DIAGNOSIS; DISEASES; EFFICIENCY; MAXIMUM LIKELIHOOD; PATIENT TREATMENT; SAMPLING;

AUXILIARY VARIABLES; CANCER BIOMARKERS; CANCER RESEARCH; EPIDERMAL GROWTH FACTOR RECEPTORS; ESTIMATED LIKELIHOOD METHOD; KERNEL SMOOTHER; LIKELIHOOD METHODS; MOLECULAR GENETICS; OUTCOME AND AUXILIARY-DEPENDENT SUBSAMPLING; PERFORMANCE;

BIOMARKERS;

BIOMARKER; CANCER; COHORT ANALYSIS; INHIBITOR; MUTATION; PROBABILITY; SAMPLING; SIMULATION;

EPIDERMAL GROWTH FACTOR; TUMOR MARKER;

ANTAGONISTS AND INHIBITORS; COMPUTER SIMULATION; GENETICS; HUMAN; LUNG NEOPLASMS; MUTATION; NEOPLASMS; PATIENT SELECTION; PERSONALIZED MEDICINE; PREDICTIVE VALUE; PROCEDURES; PROGNOSIS;

COMPUTER SIMULATION; EPIDERMAL GROWTH FACTOR; HUMANS; INDIVIDUALIZED MEDICINE; LUNG NEOPLASMS; METHODS; MUTATION; NEOPLASMS; PATIENT SELECTION; PREDICTIVE VALUE OF TESTS; PROGNOSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 77953018474     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01280.x     Document Type: Article

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