Semiparametric models of time-dependent predictive values of prognostic biomarkers

Biometrics

Volumn 66, Issue 1, 2010, Pages 50-60

  Zheng, Yingye ^a   Cai, Tianxi ^b   Stanford, Janet L ^a   Feng, Ziding ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Biomarker evaluation; Negative predictive value; Positive predictive value; Semiparametric survival analysis

Indexed keywords

DISEASES; REGRESSION ANALYSIS;

BIOMARKER EVALUATION; COVARIATES; NEGATIVE PREDICTIVE VALUE; POSITIVE PREDICTIVE VALUES; PREDICTIVE VALUES; SEMI-PARAMETRIC MODELING; SEMIPARAMETRIC; SEMIPARAMETRIC SURVIVAL ANALYSE; SURVIVAL ANALYSIS; TIME DEPENDENT;

BIOMARKERS;

ACCURACY ASSESSMENT; BIOMARKER; CANCER; COVARIANCE ANALYSIS; DATA SET; DISEASE SEVERITY; MODEL TEST; PARAMETERIZATION; REGRESSION ANALYSIS; RISK ASSESSMENT; TIME DEPENDENT BEHAVIOR;

TUMOR MARKER;

BLOOD; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; MALE; PREVALENCE; PROCEDURES; PROGNOSIS; PROSTATIC NEOPLASMS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MALE; MODELS, STATISTICAL; PREVALENCE; PROGNOSIS; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TIME FACTORS; TUMOR MARKERS, BIOLOGICAL;

EID: 77949764092     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01246.x     Document Type: Article

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