A joint back calculation model for the imputation of the date of HIV infection in a prevalent cohort

Statistics in Medicine

Volumn 27, Issue 23, 2008, Pages 4835-4853

  Taffé, Patrick ^a   May, Margaret ^b   Bachmann, S ^a   Battegay, M ^a   Bernasconi, E ^a   Bucher, H ^a   Burgisser Ph ^a   Cattacin, S ^a   Egger, M ^a   Erb, P ^a   Fierz, W ^a   Fischer, M ^a   Flepp, M ^a   Fontana, A ^a   Francioli, P ^a   Furrer, H J ^c   Gorgievski, M ^a   Gunthard H ^a   Hirschel, B ^a   Kaiser, L ^a   Kind, C ^a   Klimkait, Th ^a   Ledergerber, B ^a   Lauper, U ^a   Opravil, M ^a   Paccaud, F ^a   Pantaleo, G ^a   Perrin, L ^a   Piffaretti, J C ^a   Rickenbach, M ^a   Rudin, C ^d   Schupbach J ^d   Speck, R ^d   Telenti, A ^d   Trkola, A ^d   Vernazza, P ^d   Weber, R ^d   Yerly, S ^d   more..

^a LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c Clinical and Laboratory Committee

^d Clinical and Laboratory Committee ^*

Author keywords

Back calculation; Conditional imputation; HIV infection date; Informative censoring; Interval censoring; Joint modelling

Indexed keywords

ARTICLE; CD4 LYMPHOCYTE COUNT; CHI SQUARE TEST; COHORT ANALYSIS; CONTROLLED STUDY; DISEASE MARKER; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; INCIDENCE; JOINT BACK CALCULATION MODEL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PREDICTION; PREVALENCE; RELIABILITY; SIMULATION; TIME; UNITED KINGDOM;

ADULT; ALGORITHMS; BIOLOGICAL MARKERS; CD4 LYMPHOCYTE COUNT; CD4-POSITIVE T-LYMPHOCYTES; COHORT STUDIES; CROSS-SECTIONAL STUDIES; HIV INFECTIONS; HIV SEROPREVALENCE; HIV-1; HUMANS; MODELS, STATISTICAL; SWITZERLAND; TIME FACTORS;

EID: 53849134195     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3294     Document Type: Article

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