Analytical methods in cohort studies of patients with HIV infection;Principales métodos de análisis en los estudios de cohortes de sujetos diagnosticados de infección por el virus de la inmunodeficiencia humana (VIH)

Enfermedades Infecciosas y Microbiologia Clinica

Volumn 28, Issue 5, 2010, Pages 298-303

  Jarrín, Inmaculada ^a,b   Geskus, Ronald ^c,d   Pérez Hoyos, Santiago ^e,f   Del Amo, Julia ^a,b,g  

^a CARLOS III INSTITUTE OF HEALTH   (Spain)

^b CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

^c DEPARTMENT OF INFECTIOUS DISEASES   (Netherlands)

^d UNIVERSITY OF AMSTERDAM   (Netherlands)

^e Generalitat Valenciana   (Spain)

^f CENTRE FOR RESEARCH IN ENVIRONMENTAL EPIDEMIOLOGY CREAL   (Spain)

^g UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

Acquired immunodeficiency syndrome; Cohort studies; Data analysis; HIV

Indexed keywords

ANTIRETROVIRUS AGENT; BIOLOGICAL MARKER; CD4 ANTIBODY; CD4 ANTIGEN;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ANALYTIC METHOD; CD4 LYMPHOCYTE COUNT; COHORT ANALYSIS; DISEASE ASSOCIATION; DISEASE COURSE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTED PATIENT; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCUBATION TIME; KAPLAN MEIER METHOD; OUTCOME ASSESSMENT; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; REVIEW; RISK FACTOR; SEROCONVERSION; STATISTICAL ANALYSIS; SURVIVAL; HIV INFECTIONS; TIME;

BIOLOGICAL MARKERS; COHORT STUDIES; DATA INTERPRETATION, STATISTICAL; DISEASE PROGRESSION; HIV INFECTIONS; HUMANS; RISK FACTORS; TIME FACTORS;

EID: 77952288082     PISSN: 0213005X     EISSN: 15781852     Source Type: Journal    
DOI: 10.1016/j.eimc.2009.02.010     Document Type: Short Survey

References (37)

1. N.E. Breslow, and N.E. Day Statistical methods in cancer research. Volume II-The design and analysis of cohort studies IARC Sci Publ 82 1987 1 406
2. A. Navarro, F. Utzet, P. Puig, J. Caminal, and M. Martín Negative binomial distribution versus Poisson in the analysis of recurrent phenomena Gac Sanit 15 2001 447 452
3. H. Putter, M. Fiocco, and R.B. Geskus Tutorial in biostatistics: Competing risks and multi-state models Stat Med 26 2007 2389 2430
4. A. Muñoz The incubation period of AIDS AIDS 11 1997 S69 S76
5. E.L. Kaplan, and P. Meier Nonparametric estimation for incomplete observations J Am Stat Assoc 53 1958 457 481
6. R. Brookmeyer, and M.H. Gail AIDS Epidemiology 1994 New York
7. A. Muñoz, and J. Xu Models for the incubation of AIDS and variation according to age and period Statistics in Medicine 15 1996 2459 2473
8. X. Cox, H. Chu, M.F. Schneider, and A. Muñoz Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution Statist Med 26 2007 4352 4374
9. R. Brookmeyer, M.H. Gail, and B.F. Polk The prevalent cohort study and the acquired immunodeficiency syndrome Am J Epidemiol 126 1987 14 24
10. P. Bacchetti, and N.P. Jewell Nonparametric estimation of the incubation period of AIDS based on a prevalent cohort with unknown infection times Biometrics 47 1991 947 960
11. V.T. Farewell, R.A. Coates, M.M. Fanning, D.K. MacFadden, S.E. Read, and F.A. Shepherd The probability of progression to AIDS in a cohort of male sexual contacts of men with HIV disease Int J Epidemiol 21 1992 131 135
12. A. Muñoz, V. Carey, J.M. Taylor, J.S. Chmiel, L. Kingsley, and M. Van Raden Estimation of time since exposure for a prevalent cohort Stat Med 11 1992 939 952
13. J.M. Taylor, A. Muñoz, S.M. Bass, A.J. Saah, J.S. Chmiel, and L.A. Kingsley Estimating the distribution of times from HIV seroconversion to AIDS using multiple imputation: Multicenter AIDS Cohort Study Stat Med 9 1990 505 514
14. D.R. Cox Regression models and life tables Journal of the Royal Statistical Society 34 1972 187 220
15. J.D. Kalbfleisch, and R.L. Prentice The statistical analysis of failure time data 1990 John Willey and Sons New York
16. J.W. Mellors, A. Muñoz, J.V. Giorgi, J.B. Margolick, C.J. Tassoni, and P. Gupta Plasma viral load and CD4+ lymphocytes as prognostic markers of HIV-1 infection Ann Intern Med 126 1997 946 954
17. B. Rodríguez, A.K. Seit, V.K. Cheruvu, W. Macay, R.J. Bosch, and M. Kitahata Predictive value of plasma HIV RNA level on rate of CD4 T-cell decline in untreated HIV infection JAMA 296 2006 1498 1506
18. J.W. Mellors, J.B. Margolick, J.P. Phair, C.R. Rinaldo, R. Detels, and L.P. Jacobson Prognostic value of HIV-1 RNA, CD4 cell count, and CD4 Cell count slope for progression to AIDS and death in untreated HIV-1 infection JAMA 297 2007 2349 2350
19. M.R. Segal Regression trees for censored data Biometrics 44 1988 35 47
20. A. Muñoz, S. Gange, and L.P. Jacobson Distinguishing efficacy, individual effectiveness, and population effectiveness of therapies AIDS 14 2000 754 755
21. Muñoz A, Hoover DR. Use of cohort studies for evaluating AIDS therapies. En: Finkelstein DM, Schoenfeld DA, editores. AIDS clinical trials. New York: Willey-Liss, Inc; 199. p. 423-46.
22. Robins J.M. Marginal structural models versus structural nested models as tools for causal inference. En: Halloran E, Berry D, editores. Statistical models in epidemiology: The environment and clinical trials. New York: Springer-Verlag; 1999. p. 95-134.
23. S.R. Cole, M.A. Hernan, J.M. Robins, K. Anastos, J. Chmiel, and R. Detels Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models Am J Epidemiol 158 2003 687 694
24. S. Pérez-Hoyos, I. Ferreros, M.A. Hernan GEMES Marginal structural models application to estimate the effects of antiretroviral therapy in 5 cohorts of HIV seroconverters Gac Sanit 21 2007 76 83
25. R. Detels, A. Muñoz, G. McFarlane, L.A. Kingsley, J.B. Margolick, and J. Giorgi Effectiveness of potent antiretroviral therapy on time to AIDS and death in men with known HIV infection duration. Multicenter AIDS Cohort Study Investigators JAMA 280 1998 1497 1503
26. S. Pérez-Hoyos, J. Del Amo, R. Muga, J. Del Romero, P. García de Olalla, R. Guerrero for GEMES (Spanish Multicenter Study Group of Seroconverters) Effectiveness of highly active antiretroviral therapy in Spanish cohorts of HIV seroconverters: Differences by transmission category AIDS 17 2003 353 359
27. CASCADE Collaboration (Concerted Action on SeroConversion to AIDS and Death in Europe) Survival after introduction of HAART in people with known duration of HIV-1 infection Lancet 355 2000 1158 1159
28. R.J. Gray A class of k-sample tests for comparing the cumulative incidence of a competing risk Annals of Statistics 16 1988 1141 1154
29. J.P. Fine, and R.J. Gray A proportional hazards model for the subdistribution of a competing risk J Am Statist Assoc 94 1999 496 509
30. A. Babiker, J. Darbyshire, P. Pezzotti, K. Porter, G. Rezza, S.A. Walker for the CASCADE Collaboration Changes over time in the risk of specific first AIDS-defining events following HIV seroconversion, adjusting for competing risks Int J Epidemiol 31 2002 951 958
31. I. Jarrin, R. Geskus, K. Bhaskaran, M. Prins, S. Pérez-Hoyos, R. Muga CASCADE Collaboration Gender differences in HIV progression to AIDS and death in industrialized countries: Slower disease progression following HIV seroconversion in women Am J Epidemiol 168 2008 532 540
32. C. Smit, R. Geskus, S. Walter, C. Sabin, R. Coutinho, K. Porter CASCADE Collaboration Effective therapy has altered the spectrum of cause-specific mortality following HIV seroconversion AIDS 20 2006 741 749
33. Geskus R. Three equivalents forms of the cause-specific cumulative incidence estimator of the Fine & Gray model. Under revision with Biometrics
34. J.P. Klein, and P.K. Andersen Regression modelling of competing risks data based on pseudovalues of the cumulative incidence function Biometrics 61 2005 223 229
35. P.J. Diggle, K.Y. Liang, and S.L. Zeger Analysis of Longitudinal Data 1994 Oxford University Press Oxford
36. J.B. Margolick, A. Muñoz, A.D. Donnenberg, L.P. Park, N. Galai, and J.V. Giorgi Failure of T-cell homeostatis preceding AIDS in HIV-infection: The Multicenter AIDS Cohort Study Nat Med 1 1995 674 680
37. Touloumi G, Pocock S.J, Babiker A.G, Darbyshire J.H. Estimation and comparison of rates of change in longitudinal studies with informative drop-outs. Statist Med. 1999;18:1215-33.