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Volumn 26, Issue 29, 2007, Pages 5285-5302

Parametric latent class joint model for a longitudinal biomarker and recurrent events

Author keywords

Heterogeneous population; Joint model; Latent class model; Longitudinal biomarker; Recurrent events

Indexed keywords

BIOLOGICAL MARKER; LIPID;

EID: 37349078698     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2915     Document Type: Article
Times cited : (37)

References (38)
  • 1
    • 0035100888 scopus 로고    scopus 로고
    • Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
    • Biomarkers Definitions Working Group
    • Biomarkers Definitions Working Group, Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clinical Pharmacology and Therapeutics 2001; 69:89-95.
    • (2001) Clinical Pharmacology and Therapeutics , vol.69 , pp. 89-95
  • 2
    • 0028273049 scopus 로고
    • Surrogate, auxiliary endpoints in clinical trials, with potential applications in cancer, AIDS research
    • Fleming TR, Prentice RL, Pepe MS, Glidden D. Surrogate, auxiliary endpoints in clinical trials, with potential applications in cancer, AIDS research. Statistics in Medicine 1994; 13:955-968.
    • (1994) Statistics in Medicine , vol.13 , pp. 955-968
    • Fleming, T.R.1    Prentice, R.L.2    Pepe, M.S.3    Glidden, D.4
  • 4
    • 0000457417 scopus 로고
    • A framework for consistent prediction rules based on markers
    • Jewell NP, Nielsen JP. A framework for consistent prediction rules based on markers. Biometrika 1993; 80(1): 153-164.
    • (1993) Biometrika , vol.80 , Issue.1 , pp. 153-164
    • Jewell, N.P.1    Nielsen, J.P.2
  • 5
    • 0027595086 scopus 로고
    • Using degradation measures to estimate a time-to-failure distribution
    • Lu CJ, Meeker WQ. Using degradation measures to estimate a time-to-failure distribution. Technometrics 1993; 35:161-174.
    • (1993) Technometrics , vol.35 , pp. 161-174
    • Lu, C.J.1    Meeker, W.Q.2
  • 6
    • 0029420415 scopus 로고
    • Estimating degradation by a Wiener diffusion process subject to measurement error
    • Whitmore GA. Estimating degradation by a Wiener diffusion process subject to measurement error. Lifetime Data Analysis 1995; 1:307-319.
    • (1995) Lifetime Data Analysis , vol.1 , pp. 307-319
    • Whitmore, G.A.1
  • 8
    • 33846338140 scopus 로고    scopus 로고
    • Models for recurrent events in reliability and survival analysis
    • Soyer R, Mazzuchi T, Singpurwalla N eds, Kluwer Academic Publishers: Dordrecht
    • Peña EA, Hollander M. Models for recurrent events in reliability and survival analysis. In Mathematical Reliability: An Expository Perspective, Soyer R, Mazzuchi T, Singpurwalla N (eds). Kluwer Academic Publishers: Dordrecht, 2004; 105-123.
    • (2004) Mathematical Reliability: An Expository Perspective , pp. 105-123
    • Peña, E.A.1    Hollander, M.2
  • 10
    • 0036489045 scopus 로고    scopus 로고
    • Latent class models for joint analysis of longitudinal biomarker and event process data: Application to longitudinal prostate-specific antigen readings and prostate cancer
    • Lin H, Turnbull BW, McCulloch CE, Slate EH, Clark LC. Latent class models for joint analysis of longitudinal biomarker and event process data: application to longitudinal prostate-specific antigen readings and prostate cancer. Journal of the American Statistical Association 2002; 97(457):53-65.
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 53-65
    • Lin, H.1    Turnbull, B.W.2    McCulloch, C.E.3    Slate, E.H.4    Clark, L.C.5
  • 11
    • 0000509833 scopus 로고
    • Model misspecification in proportional hazard regression
    • Anderson GL, Fleming TT. Model misspecification in proportional hazard regression. Biometrika 1995; 82: 527-541.
    • (1995) Biometrika , vol.82 , pp. 527-541
    • Anderson, G.L.1    Fleming, T.T.2
  • 12
    • 2942677478 scopus 로고    scopus 로고
    • Latent pattern mixture models for informative intermittent missing data in longitudinal studies
    • Lin H, McCulloch CE, Rosenheck RA. Latent pattern mixture models for informative intermittent missing data in longitudinal studies. Biometrics 2004; 60:295-305.
    • (2004) Biometrics , vol.60 , pp. 295-305
    • Lin, H.1    McCulloch, C.E.2    Rosenheck, R.A.3
  • 13
    • 8644246036 scopus 로고    scopus 로고
    • Joint modeling of longitudinal and time-to-event data: An overview
    • Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: an overview. Statistica Sinica 2004; 14:793-818.
    • (2004) Statistica Sinica , vol.14 , pp. 793-818
    • Tsiatis, A.A.1    Davidian, M.2
  • 14
    • 0000569928 scopus 로고    scopus 로고
    • A linear mixed-effects model with heterogeneity in the random-effects population
    • Verbeke G, Lesaffre E. A linear mixed-effects model with heterogeneity in the random-effects population. Journal of the American Statistical Association 1996; 91:217-221.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 217-221
    • Verbeke, G.1    Lesaffre, E.2
  • 16
    • 0028627762 scopus 로고
    • Modeling progression of CD4+ lyrnphocyte count and its relationship to survival time
    • DeGruttola V, Tu XM. Modeling progression of CD4+ lyrnphocyte count and its relationship to survival time. Biometrics 1994; 50:1003-1014.
    • (1994) Biometrics , vol.50 , pp. 1003-1014
    • DeGruttola, V.1    Tu, X.M.2
  • 17
    • 0000710136 scopus 로고    scopus 로고
    • Joint modeling of longitudinal measurements and event time data
    • Henderson R, Diggle P, Dobson A. Joint modeling of longitudinal measurements and event time data. Biostatistics 2000; 1:465-480.
    • (2000) Biostatistics , vol.1 , pp. 465-480
    • Henderson, R.1    Diggle, P.2    Dobson, A.3
  • 22
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • Efron B. Bootstrap methods: another look at the jackknife. Annals of Statistics 1979; 7:1-26.
    • (1979) Annals of Statistics , vol.7 , pp. 1-26
    • Efron, B.1
  • 24
    • 0030351528 scopus 로고    scopus 로고
    • An entropy criterion for assessing the number of clusters in a mixture model
    • Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. Classification Journal 1996; 13:195-212.
    • (1996) Classification Journal , vol.13 , pp. 195-212
    • Celeux, G.1    Soromenho, G.2
  • 25
    • 21144475085 scopus 로고
    • Consistent estimation of a mixing distribution
    • Leroux BG. Consistent estimation of a mixing distribution. Annals of Statistics 1992; 20:1350-1360.
    • (1992) Annals of Statistics , vol.20 , pp. 1350-1360
    • Leroux, B.G.1
  • 26
    • 0033105385 scopus 로고    scopus 로고
    • An improvement of the NEC criterion for assessing the number of clusters in a mixture model
    • Biernacki C, Celeux G, Govaert G. An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognition Letters 1999; 20:267-272.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 267-272
    • Biernacki, C.1    Celeux, G.2    Govaert, G.3
  • 28
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974; 19:716-723.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 29
    • 0000308948 scopus 로고    scopus 로고
    • Using the classification likelihood to choose the number of clusters
    • Biernacki C, Govaert G. Using the classification likelihood to choose the number of clusters. Computing Science and Statistics 1997; 29:451-457.
    • (1997) Computing Science and Statistics , vol.29 , pp. 451-457
    • Biernacki, C.1    Govaert, G.2
  • 30
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. Annals of Statistics 1978; 6:461-464.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 33
    • 0029995115 scopus 로고    scopus 로고
    • Pattern-mixture models for multivariate incomplete data with covariates
    • Little RJA, Wang Y. Pattern-mixture models for multivariate incomplete data with covariates. Biometrics 1996; 52:98-111.
    • (1996) Biometrics , vol.52 , pp. 98-111
    • Little, R.J.A.1    Wang, Y.2
  • 34
    • 4243828610 scopus 로고
    • Informative drop-out in longitudinal data analysis
    • Diggle PJ, Kenward MG. Informative drop-out in longitudinal data analysis. Applied Statistics 1994; 43(1):49-93.
    • (1994) Applied Statistics , vol.43 , Issue.1 , pp. 49-93
    • Diggle, P.J.1    Kenward, M.G.2
  • 36
    • 0029763749 scopus 로고    scopus 로고
    • Simultaneously modeling censored survival data and repeatly measured covariates: A Gibbs sampling approach
    • Faucett CL, Thomas DC. Simultaneously modeling censored survival data and repeatly measured covariates: a Gibbs sampling approach. Statistics in Medicine 1996; 16:1663-1668.
    • (1996) Statistics in Medicine , vol.16 , pp. 1663-1668
    • Faucett, C.L.1    Thomas, D.C.2
  • 37
    • 0030893266 scopus 로고    scopus 로고
    • A joint model for survival and longitudinal data measured with error
    • Wulfsohn MS, Tsiatis AA. A joint model for survival and longitudinal data measured with error. Biometrics 1997; 53:330-339.
    • (1997) Biometrics , vol.53 , pp. 330-339
    • Wulfsohn, M.S.1    Tsiatis, A.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.