A proportional hazards model for arbitrarily censored and truncated data

Biometrics

Volumn 52, Issue 2, 1996, Pages 512-524

  Alioum, Ahmadou ^a   Commenges, Daniel ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

Identifiability; Interval censoring; NPMLE; Proportional hazards; Truncation

Indexed keywords

HAZARDS; PATIENT MONITORING; REGRESSION ANALYSIS;

CENSORED AND TRUNCATED DATUM; DISTRIBUTION-FUNCTIONS; IDENTIFIABILITY; INTERVAL CENSORING; NON-PARAMETRIC ESTIMATIONS; NPMLE; PROPORTIONAL HAZARD MODELS; PROPORTIONAL HAZARDS; REGRESSION COEFFICIENT; TRUNCATION;

DISTRIBUTION FUNCTIONS;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; DATA ANALYSIS; DIABETIC NEPHROPATHY; EPIDEMIOLOGICAL DATA; HAZARD; INCIDENCE; INSULIN DEPENDENT DIABETES MELLITUS; REGRESSION ANALYSIS; RISK ASSESSMENT; TRANSFUSION; ADULT; ALGORITHM; BIOMETRY; BLOOD TRANSFUSION; CHILD; DISEASE TRANSMISSION; HUMAN; PROPORTIONAL HAZARDS MODEL; STATISTICAL ANALYSIS; TIME;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ADULT; ALGORITHMS; BIOMETRY; BLOOD TRANSFUSION; CHILD; DATA INTERPRETATION, STATISTICAL; DIABETES MELLITUS, TYPE 1; DIABETIC NEPHROPATHIES; HUMANS; PROPORTIONAL HAZARDS MODELS; TIME FACTORS;

EID: 0029887042     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2532891     Document Type: Article

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