Bayesian modelling of imperfect ascertainment methods in cancer studies

Statistics in Medicine

Volumn 24, Issue 15, 2005, Pages 2365-2379

  Bernatsky, Sasha ^a,b   Joseph, Lawrence ^a,b   Bélisle, Patrick ^a   Boivin, Jean François ^b,c   Rajan, Raghu ^a,b   Moore, Andrew ^a   Clarke, Ann ^a  

^a MONTREAL GENERAL HOSPITAL   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Bayesian analysis; Cancer ascertainment; Diagnostic test; Hierarchical model; Sensitivity and specificity; Standardized incidence ratio

Indexed keywords

ANALYTICAL ERROR; BAYES THEOREM; BRAIN CANCER; BREAST CANCER; CALCULATION; CANCER EPIDEMIOLOGY; CANCER INCIDENCE; CANCER REGISTRY; CANCER RISK; COLORECTAL CANCER; ENDOMETRIUM CANCER; HEMATOLOGIC MALIGNANCY; HUMAN; MAJOR CLINICAL STUDY; MELANOMA; METHODOLOGY; OVARY CANCER; PREVALENCE; REVIEW; RISK FACTOR; SELF REPORT; SENSITIVITY AND SPECIFICITY; STANDARDIZATION; STATISTICAL ANALYSIS; SYSTEMIC LUPUS ERYTHEMATOSUS; UTERINE CERVIX CANCER;

BAYES THEOREM; FEMALE; HUMANS; INCIDENCE; LUPUS ERYTHEMATOSUS, SYSTEMIC; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEOPLASMS; PREVALENCE; QUESTIONNAIRES; REGISTRIES;

EID: 23244447195     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2116     Document Type: Review

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