Assessing the probability that a positive report is false: An approach for molecular epidemiology studies

Journal of the National Cancer Institute

Volumn 96, Issue 6, 2004, Pages 434-442

  Wacholder, Sholom ^a   Chanock, Stephen ^a   Garcia Closas, Montserrat ^a   El Ghormli, Laure ^a,b   Rothman, Nathaniel ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

^b The George WA Univ Biostat Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CALCULATION; CANCER GENETICS; CONFIDENCE INTERVAL; CONTROLLED STUDY; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENETIC SUSCEPTIBILITY; GENETIC VARIABILITY; HAPLOTYPE; HYPOTHESIS; MEDICAL RESEARCH; METHODOLOGY; MOLECULAR GENETICS; PRIORITY JOURNAL; PROBABILITY; RISK ASSESSMENT; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; ANALYSIS OF VARIANCE; BAYES THEOREM; EPIDEMIOLOGY; GENETIC PREDISPOSITION; HUMAN; LABORATORY DIAGNOSIS; MATHEMATICAL COMPUTING; OBSERVER VARIATION; RISK; SAMPLE SIZE; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; BAYES THEOREM; CONFIDENCE INTERVALS; CONFOUNDING FACTORS (EPIDEMIOLOGY); EPIDEMIOLOGY, MOLECULAR; FALSE POSITIVE REACTIONS; GENETIC PREDISPOSITION TO DISEASE; HAPLOTYPES; HUMANS; LIKELIHOOD FUNCTIONS; MATHEMATICAL COMPUTING; OBSERVER VARIATION; ODDS RATIO; RISK ASSESSMENT; SAMPLE SIZE; VARIATION (GENETICS);

EID: 1642295096     PISSN: 00278874     EISSN: None     Source Type: Journal    
DOI: 10.1093/jnci/djh075     Document Type: Article

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