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Volumn 25, Issue 4, 2016, Pages 1661-1676

A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion

Author keywords

partial marginalization; Poisson gamma normal model; probit beta normal model; Weibull gamma normal model

Indexed keywords

CONFERENCE PAPER; CONJUGATE RANDOM EFFECT; CONTROLLED STUDY; HEART FAILURE; HUMAN; LINEAR MIXED MODEL; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; NORMAL RANDOM EFFECT; POISSON GAMMA NORMAL MODEL; PROBIT BETA NORMAL MODEL; STATISTICAL MODEL; WEIBULL GAMMA NORMAL MODEL; SOFTWARE;

EID: 84983776581     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280213495994     Document Type: Conference Paper
Times cited : (12)

References (16)
  • 1
    • 8644269772 scopus 로고    scopus 로고
    • Joint longitudinal-survival-cure models and their application to prostate cancer
    • Yu M, Law N, Taylor JMG, et al. Joint longitudinal-survival-cure models and their application to prostate cancer. Stat Sin 2004; 14: 835-862.
    • (2004) Stat Sin , vol.14 , pp. 835-862
    • Yu, M.1    Law, N.2    Taylor, J.M.G.3
  • 2
    • 42349110012 scopus 로고    scopus 로고
    • Individual prediction in prostate cancer studies using a joint longitudinal survival cure model
    • Menggang Y, Taylor JMG, Sandler HM,. Individual prediction in prostate cancer studies using a joint longitudinal survival cure model. J Am Stat Assoc 2008; 103: 178-187.
    • (2008) J Am Stat Assoc , vol.103 , pp. 178-187
    • Menggang, Y.1    Taylor, J.M.G.2    Sandler, H.M.3
  • 4
    • 84857610654 scopus 로고    scopus 로고
    • Effect of a telemonitoring-facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: The TEMA-HF 1 (TElemonitoring in the MAnagement of Heart Failure) study
    • Dendale P, De Keulenaer G, Troisfontaines P, et al. Effect of a telemonitoring-facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: the TEMA-HF 1 (TElemonitoring in the MAnagement of Heart Failure) study. Eur J Heart Fail 2011; 14: 333-340.
    • (2011) Eur J Heart Fail , vol.14 , pp. 333-340
    • Dendale, P.1    De Keulenaer, G.2    Troisfontaines, P.3
  • 5
    • 84878920495 scopus 로고    scopus 로고
    • A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients
    • Njagi EN, Rizopoulos D, Molenberghs G, et al. A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients. Stat Model 2013; 13: 179-198.
    • (2013) Stat Model , vol.13 , pp. 179-198
    • Njagi, E.N.1    Rizopoulos, D.2    Molenberghs, G.3
  • 7
    • 8644246036 scopus 로고    scopus 로고
    • Joint modeling of longitudinal and time-to-event data: An overview
    • Tsiatis A, Davidian M,. Joint modeling of longitudinal and time-to-event data: an overview. Stat Sin 2004; 14: 809-834.
    • (2004) Stat Sin , vol.14 , pp. 809-834
    • Tsiatis, A.1    Davidian, M.2
  • 9
    • 80052787679 scopus 로고    scopus 로고
    • Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data
    • Rizopoulos D,. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics 2011; 67: 819-829.
    • (2011) Biometrics , vol.67 , pp. 819-829
    • Rizopoulos, D.1
  • 10
    • 78751640437 scopus 로고    scopus 로고
    • A family of generalized linear models for repeated measures with normal and conjugate random effects
    • Molenberghs G, Verbeke G, Demétrio CGB, et al. A family of generalized linear models for repeated measures with normal and conjugate random effects. Stat Sci 2010; 25: 325-347.
    • (2010) Stat Sci , vol.25 , pp. 325-347
    • Molenberghs, G.1    Verbeke, G.2    Demétrio, C.G.B.3
  • 11
    • 37649013843 scopus 로고    scopus 로고
    • An extended random-effects approach to modeling repeated, overdispersed count data
    • Molenberghs G, Verbeke G, Demétrio CGB,. An extended random-effects approach to modeling repeated, overdispersed count data. Lifetime Data Anal 2007; 13: 513-531.
    • (2007) Lifetime Data Anal , vol.13 , pp. 513-531
    • Molenberghs, G.1    Verbeke, G.2    Demétrio, C.G.B.3
  • 13
    • 0003535936 scopus 로고    scopus 로고
    • 2nd ed. New York: John Wiley & Sons
    • Agresti A,. Categorical data analysis, 2nd ed. New York: John Wiley & Sons, 2002, pp. 131-131.
    • (2002) Categorical Data Analysis , pp. 131
    • Agresti, A.1
  • 14
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell FE, Lee KL, Mark DB,. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15: 361-387.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 16
    • 84983745057 scopus 로고    scopus 로고
    • Rizopoulos D. Package "JM": R package version 1.0-0, (2012, accessed 16 February 2013)
    • Rizopoulos D. Package "JM": R package version 1.0-0, http://cran.r-project.org/web/packages/JM/JM.pdf (2012, accessed 16 February 2013).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.