Limitation of inverse probability-of-censoring weights in estimating survival in the presence of strong selection bias

American Journal of Epidemiology

Volumn 173, Issue 5, 2011, Pages 569-577

  Howe, Chanelle J ^a   Cole, Stephen R ^a   Chmiel, Joan S ^b   Muñoz, Alvaro ^c  

^a The University of North Carolina at Chapel Hill   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

epidemiologic methods; selection bias; survival analysis

Indexed keywords

ANTIVIRUS AGENT; VIRUS RNA;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; COHORT ANALYSIS; DISEASE PREVALENCE; EPIDEMIOLOGY; PROBABILITY; SURVIVAL; WEIGHT;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; COHORT ANALYSIS; DISEASE FREE SURVIVAL; FOLLOW UP; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INVERSE PROBABILITY OF CENSORING WEIGHTS; METHODOLOGY; OUTCOME ASSESSMENT; RESEARCH; SAMPLE SIZE; SEROCONVERSION; STATISTICAL PARAMETERS; SURVIVAL; TAXONOMY;

ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; DISEASE-FREE SURVIVAL; HIV; HIV INFECTIONS; HUMANS; MATHEMATICAL COMPUTING; MODELS, STATISTICAL; MULTICENTER STUDIES AS TOPIC; PATIENT COMPLIANCE; RESEARCH DESIGN; SELECTION BIAS; SURVIVAL ANALYSIS; UNITED STATES;

EID: 79952145178     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq385     Document Type: Article

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