Exploring the uncertainties of early detection results: Model-based interpretation of mayo lung project

BMC Cancer

Volumn 11, Issue , 2011, Pages

  Shi, Lu ^a,e   Tian, Haijun ^b   McCarthy, William J ^c,e   Berman, Barbara ^c   Wu, Shinyi ^d   Boer, Rob ^e  

^a U S DEPARTMENT OF HEALTH AND HUMAN SERVICES   (United States)

^b IQVIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d University of Southern California   (United States)

^e ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATTRIBUTABLE RISK; BIOLOGICAL MODEL; CANCER INCIDENCE; CANCER SCREENING; CANCER SURVIVAL; CONTROLLED STUDY; EARLY DIAGNOSIS; EARLY INTERVENTION; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; LUNG CANCER; PREDICTION; SCREENING TEST; SENSITIVITY ANALYSIS; SIMULATION; SMOKING; SYSTEMATIC ERROR; ADENOCARCINOMA; AGED; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; DECISION SUPPORT SYSTEM; HOSPITAL; HUMAN; INCIDENCE; LUNG TUMOR; MALE; MASS SCREENING; METHODOLOGY; MIDDLE AGED; RANDOMIZED CONTROLLED TRIAL; STANDARD; STATISTICAL ANALYSIS; STATISTICS; UNCERTAINTY;

ADENOCARCINOMA; AGED; AGED, 80 AND OVER; DATA INTERPRETATION, STATISTICAL; DECISION SUPPORT TECHNIQUES; EARLY DETECTION OF CANCER; HOSPITALS; HUMANS; INCIDENCE; LUNG NEOPLASMS; MALE; MASS SCREENING; MIDDLE AGED; UNCERTAINTY;

EID: 79952226969     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-11-92     Document Type: Article

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