메뉴 건너뛰기




Volumn 47, Issue 6, 2005, Pages 825-833

A semi-markov model based on generalized weibull distribution with an illustration for HIV disease

Author keywords

Generalized Weibull distribution; Hazard function; HIV; Longitudinal analysis; Multi state model; Semi Markov process

Indexed keywords

CONTINUOUS TIME SYSTEMS; HAZARDS; INVERSE PROBLEMS; MARKOV PROCESSES; STOCHASTIC SYSTEMS; WEIBULL DISTRIBUTION;

EID: 29844443593     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/bimj.200410170     Document Type: Article
Times cited : (78)

References (16)
  • 1
    • 0031712989 scopus 로고    scopus 로고
    • Effect of gender, age, transmission category, and antiretroviral therapy on the progression of human immunodeficiency virus infection using multistate Markov models
    • Groupe d'épidémiologie clinique du SIDA en Aquitaine.
    • Alioum, A., Leroy, V., Commenges, D., Dabis, F., and Salamon, R. (1998). Effect of gender, age, transmission category, and antiretroviral therapy on the progression of human immunodeficiency virus infection using multistate Markov models. Groupe d'épidémiologie clinique du SIDA en Aquitaine. Epidemiology 9, 605-612.
    • (1998) Epidemiology , vol.9 , pp. 605-612
    • Alioum, A.1    Leroy, V.2    Commenges, D.3    Dabis, F.4    Salamon, R.5
  • 2
    • 0025817929 scopus 로고
    • Assessing the influence of reversible disease indicators on survival
    • Andersen, P. K., Hansen, L. S., and Keiding, N. (1991). Assessing the influence of reversible disease indicators on survival. Statistics in Medicine 10, 1061-1067.
    • (1991) Statistics in Medicine , vol.10 , pp. 1061-1067
    • Andersen, P.K.1    Hansen, L.S.2    Keiding, N.3
  • 7
    • 21844487283 scopus 로고
    • Cox regression in a Markov renewal model: An application to the analysis of bone transplant data
    • Dabrowska, D. M., Sun, G., and Horowitz, M. M. (1994). Cox Regression in a Markov Renewal Model: an application to the analysis of bone transplant data. Journal of the American Statistical Association 89, 867-877.
    • (1994) Journal of the American Statistical Association , vol.89 , pp. 867-877
    • Dabrowska, D.M.1    Sun, G.2    Horowitz, M.M.3
  • 9
    • 0032887315 scopus 로고    scopus 로고
    • A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application to AIDS
    • Joly, P. and Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application to AIDS. Biometrics 55, 887-890.
    • (1999) Biometrics , vol.55 , pp. 887-890
    • Joly, P.1    Commenges, D.2
  • 10
    • 0022965472 scopus 로고
    • A Markov model for analysing cancer markers and disease states and survival studies
    • Kay, R. (1986). A Markov model for analysing cancer markers and disease states and survival studies. Biometrics 42, 855-865.
    • (1986) Biometrics , vol.42 , pp. 855-865
    • Kay, R.1
  • 11
    • 0033793345 scopus 로고    scopus 로고
    • Meeting the NICE requirements: A Markov Model approach
    • Mauskopf, J. (2000). Meeting the NICE Requirements: A Markov Model Approach. Value Health 3, 287-287.
    • (2000) Value Health , vol.3 , pp. 287-287
    • Mauskopf, J.1
  • 15
    • 0347519212 scopus 로고    scopus 로고
    • The analysis of asthma control under a Markov assumption with use of covariates
    • Saint-Pierre, P., Combescure, C., Daures, J. P., and Godard, P. (2003). The analysis of asthma control under a Markov assumption with use of covariates. Statistics in Medicine 22, 3755-3770.
    • (2003) Statistics in Medicine , vol.22 , pp. 3755-3770
    • Saint-Pierre, P.1    Combescure, C.2    Daures, J.P.3    Godard, P.4
  • 16
    • 0032967656 scopus 로고    scopus 로고
    • Fitting Semi-Markov models to interval-censored data with unknown initiation times
    • Satten, G. and Sternberg, M. (1999). Fitting Semi-Markov Models to interval-Censored Data with Unknown Initiation Times. Biometrics 55, 507-513.
    • (1999) Biometrics , vol.55 , pp. 507-513
    • Satten, G.1    Sternberg, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.