Using testlet response theory to analyze data from a survey of attitude change among breast cancer survivors

Statistics in Medicine

Volumn 29, Issue 19, 2010, Pages 2028-2044

  Wang, Xiaohui ^a   Baldwin, Su ^b   Wainer, Howard ^b,c   Bradlow, Eric T ^c   Reeve, Bryce B ^d   Smith, Ashley W ^d   Bellizzie, Keith M ^e   Baumgartnerf, Kathy B ^f  

^a UNIVERSITY OF VIRGINIA   (United States)

^b NATIONAL BOARD OF MEDICAL EXAMINERS   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d NATIONAL CANCER INSTITUTE   (United States)

^e UNIVERSITY OF CONNECTICUT   (United States)

^f UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

Bayesian; Breast cancer survey; Local independence; MCMC; Testlet

Indexed keywords

TAMOXIFEN;

AGE; ARTICLE; ATTITUDE TO CHANGE; BAYES THEOREM; BREAST CANCER; CANCER PATIENT; COVARIANCE; DATA ANALYSIS; HUMAN; RACE; SCORING SYSTEM; STATISTICAL MODEL; THEORETICAL STUDY;

ATTITUDE TO HEALTH; BAYES THEOREM; BREAST NEOPLASMS; DATA INTERPRETATION, STATISTICAL; FEMALE; HEALTH SURVEYS; HUMANS; NEOPLASM RECURRENCE, LOCAL; PSYCHOMETRICS; SURVIVORS; TAMOXIFEN;

EID: 77955755204     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3945     Document Type: Article

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