Measuring spatial effects in time to event data: A case study using months from angiography to coronary artery bypass graft (CABG)

Statistics in Medicine

Volumn 22, Issue 18, 2003, Pages 2943-2961

  Crook, Angela M ^a,b   Knorr Held, Leonhard ^c   Hemingway, Harry ^b,d  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b Westminster Primary Care Trust   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian hierarchical models; CABG; Small area; Spatial; Time to event

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ANGIOCARDIOGRAPHY; ARTICLE; BAYES THEOREM; BIOSTATISTICS; CASE STUDY; CONFIDENCE INTERVAL; CONTROLLED STUDY; CORONARY ARTERY BYPASS GRAFT; CORONARY ARTERY DISEASE; COVARIANCE; DEMOGRAPHY; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; HEART BLOOD VESSEL; HOSPITAL DEPARTMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; PATIENT REFERRAL; SEX DIFFERENCE; STATISTICAL MODEL; SURVIVAL TIME; TIME SERIES ANALYSIS; UNITED KINGDOM;

BAYES THEOREM; CORONARY ANGIOGRAPHY; CORONARY ARTERY BYPASS; CORONARY DISEASE; ENGLAND; FEMALE; HUMANS; MALE; SEX FACTORS; SMALL-AREA ANALYSIS; TIME FACTORS;

EID: 0141849049     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1535     Document Type: Article

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