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Volumn 26, Issue 1, 2017, Pages 21-42

A multiphase non-linear mixed effects model: An application to spirometry after lung transplantation

Author keywords

additive regression; mixed effects model; non linear model; spirometry data; temporal decomposition; time varying coefficient

Indexed keywords

DECOMPOSITION; FOLLOW UP; LUNG TRANSPLANTATION; MEDICINE; RISK FACTOR; SOFTWARE; SPIROMETRY; STATISTICAL MODEL; HUMAN; LONGITUDINAL STUDY; PROCEDURES;

EID: 85008697689     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214537255     Document Type: Article
Times cited : (53)

References (36)
  • 1
    • 0036263842 scopus 로고    scopus 로고
    • Hemodynamic stability during 17 Years of the Carpentier-Edwards aortic pericardial bioprosthesis
    • Banbury MK, Cosgrove DM, Thomas JD, et al. Hemodynamic stability during 17 Years of the Carpentier-Edwards aortic pericardial bioprosthesis. Ann Thorac Surg 2002; 73: 1460-1465.
    • (2002) Ann Thorac Surg , vol.73 , pp. 1460-1465
    • Banbury, M.K.1    Cosgrove, D.M.2    Thomas, J.D.3
  • 3
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • Laird NM, Ware JH,. Random-effects models for longitudinal data. Biometrics 1982; 38: 963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 4
    • 14544302160 scopus 로고    scopus 로고
    • Conditional and marginal models: Another view
    • Lee Y, Nelder JA,. Conditional and marginal models: another view. Stat Sci 2004; 19: 219-238.
    • (2004) Stat Sci , vol.19 , pp. 219-238
    • Lee, Y.1    Nelder, J.A.2
  • 5
    • 0022966316 scopus 로고
    • Unbalanced repeated measures models with structured covariate matrices
    • Jennrich RI, Schluchter MD,. Unbalanced repeated measures models with structured covariate matrices. Biometrics 1986; 42: 805-820.
    • (1986) Biometrics , vol.42 , pp. 805-820
    • Jennrich, R.I.1    Schluchter, M.D.2
  • 6
    • 0031479575 scopus 로고    scopus 로고
    • Maximum likelihood algorithm for generalized linear mixed models
    • McCulloch CE,. Maximum likelihood algorithm for generalized linear mixed models. J Am Stat Assoc 1997; 92: 162-170.
    • (1997) J Am Stat Assoc , vol.92 , pp. 162-170
    • McCulloch, C.E.1
  • 7
    • 0032967837 scopus 로고    scopus 로고
    • Population HIV-1 dynamics in vivo: Applicable models and inferential tools for virological data from AIDS clinical trials
    • Wu H, Ding A,. Population HIV-1 dynamics in vivo: applicable models and inferential tools for virological data from AIDS clinical trials. Biometrics 1999; 55: 410-418.
    • (1999) Biometrics , vol.55 , pp. 410-418
    • Wu, H.1    Ding, A.2
  • 8
    • 0019289897 scopus 로고
    • Evaluation of methods for estimating population pharmacokinetic parameters. I.Michaelis-Menten Model: Routine clinical pharmacokinetic data
    • Sheiner LB, Beal SL,. Evaluation of methods for estimating population pharmacokinetic parameters. I.Michaelis-Menten Model: Routine clinical pharmacokinetic data. J Pharm Biopharm 1980; 8: 553-571.
    • (1980) J Pharm Biopharm , vol.8 , pp. 553-571
    • Sheiner, L.B.1    Beal, S.L.2
  • 11
    • 84946045727 scopus 로고
    • Approximations to the log-likelihood function in a nonlinear mixed-effects model
    • Pinheiro JC, Bates DM,. Approximations to the log-likelihood function in a nonlinear mixed-effects model. J Comput Graph Stat 1995; 4: 12-35.
    • (1995) J Comput Graph Stat , vol.4 , pp. 12-35
    • Pinheiro, J.C.1    Bates, D.M.2
  • 12
    • 0000474486 scopus 로고    scopus 로고
    • A note on the use of Laplace's approximation for nonlinear mixed-effects models
    • Vonesh EF,. A note on the use of Laplace's approximation for nonlinear mixed-effects models. Biometrika 1996; 83: 447-452.
    • (1996) Biometrika , vol.83 , pp. 447-452
    • Vonesh, E.F.1
  • 13
    • 0000208392 scopus 로고
    • The decomposition of time-varying hazard into phases, each incorporating a separate stream of concomitant information
    • Blackstone EH, Naftel DC, Turner ME Jr,. The decomposition of time-varying hazard into phases, each incorporating a separate stream of concomitant information. J Am Stat Assoc 1986; 81: 615-624.
    • (1986) J Am Stat Assoc , vol.81 , pp. 615-624
    • Blackstone, E.H.1    Naftel, D.C.2    Turner, M.E.3
  • 14
    • 0030328027 scopus 로고    scopus 로고
    • Physiology pharmacokinetic analysis using population modeling and informative prior distributions
    • Gelman A, Bois F, Jiang LM,. Physiology pharmacokinetic analysis using population modeling and informative prior distributions. J Am Stat Assoc 1996; 91: 1400-1412.
    • (1996) J Am Stat Assoc , vol.91 , pp. 1400-1412
    • Gelman, A.1    Bois, F.2    Jiang, L.M.3
  • 15
    • 0038909620 scopus 로고    scopus 로고
    • A Bayesian population model with hierarchical mixture prior applied to blood count data
    • Muller P, Rosner GL,. A Bayesian population model with hierarchical mixture prior applied to blood count data. J Am Stat Assoc 1997; 92: 1279-1292.
    • (1997) J Am Stat Assoc , vol.92 , pp. 1279-1292
    • Muller, P.1    Rosner, G.L.2
  • 16
    • 0141505956 scopus 로고    scopus 로고
    • Comparing linear and nonlinear mixed model approaches to Cosinor analysis
    • Mikulich SK, Zerbe GO, Jones RH, et al. Comparing linear and nonlinear mixed model approaches to Cosinor analysis. Stat Med 2003; 22: 3195-3211.
    • (2003) Stat Med , vol.22 , pp. 3195-3211
    • Mikulich, S.K.1    Zerbe, G.O.2    Jones, R.H.3
  • 17
    • 0036970596 scopus 로고    scopus 로고
    • A joint model for nonlinear mixed-effects models with censoring and covariates measured with error, with application to AIDS studies
    • Wu L,. A joint model for nonlinear mixed-effects models with censoring and covariates measured with error, with application to AIDS studies. J Am Stat Assoc 2002; 97: 955-964.
    • (2002) J Am Stat Assoc , vol.97 , pp. 955-964
    • Wu, L.1
  • 18
    • 8644257675 scopus 로고    scopus 로고
    • Penalized structured additive regression for space time data: A Bayesian perspective
    • Fahrmeir L, Kneib T, Lang S,. Penalized structured additive regression for space time data: a Bayesian perspective. Stat Sinica 2004; 14: 731-761.
    • (2004) Stat Sinica , vol.14 , pp. 731-761
    • Fahrmeir, L.1    Kneib, T.2    Lang, S.3
  • 19
    • 0036896305 scopus 로고    scopus 로고
    • Nonparametric varying-coefficient models for the analyses of longitudinal data
    • Wu CO, Yu KF,. Nonparametric varying-coefficient models for the analyses of longitudinal data. Int Stat Rev 2000; 3: 373-393.
    • (2000) Int Stat Rev , vol.3 , pp. 373-393
    • Wu, C.O.1    Yu, K.F.2
  • 21
    • 0020423603 scopus 로고
    • Parametric survival analysis combining longitudinal and cross-sectional censored and interval-censored data with concomitant information
    • Hazelrig JB, Turner ME Jr, Blackstone EH,. Parametric survival analysis combining longitudinal and cross-sectional censored and interval-censored data with concomitant information. Biometrics 1982; 39: 1-5.
    • (1982) Biometrics , vol.39 , pp. 1-5
    • Hazelrig, J.B.1    Turner, M.E.2    Blackstone, E.H.3
  • 22
    • 0001684437 scopus 로고
    • Laplace approximation for non-linear mixed models
    • Wolfinger RD,. Laplace approximation for non-linear mixed models. Biomatrika 1993; 80: 791-795.
    • (1993) Biomatrika , vol.80 , pp. 791-795
    • Wolfinger, R.D.1
  • 24
    • 0032926069 scopus 로고    scopus 로고
    • Spirometry reference values from a sample of the general U.S. Population
    • Hankinson JL, Odencrantz JR, Fedan KB,. Spirometry reference values from a sample of the general U.S. population. Am J Respir Crit Care Med 1999; 159: 179-187.
    • (1999) Am J Respir Crit Care Med , vol.159 , pp. 179-187
    • Hankinson, J.L.1    Odencrantz, J.R.2    Fedan, K.B.3
  • 25
    • 0000501656 scopus 로고
    • Information theory as an extension of the maximum likelihood principle
    • Budapest
    • Akaike H. Information theory as an extension of the maximum likelihood principle. In: Second international symposium on information theory, Budapest, 1973, pp. 267-281.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 26
    • 0029887528 scopus 로고    scopus 로고
    • Goodness-of-fit in generalized nonlinear mixed-effects models
    • Vonesh EF, Chincill VM, Pu K,. Goodness-of-fit in generalized nonlinear mixed-effects models. Biometrics 1996; 52: 572-587.
    • (1996) Biometrics , vol.52 , pp. 572-587
    • Vonesh, E.F.1    Chincill, V.M.2    Pu, K.3
  • 27
    • 0024521543 scopus 로고
    • A concordance correlation coefficient to evaluate reproducibility
    • Lin LI,. A concordance correlation coefficient to evaluate reproducibility. Biometrics 1989; 45: 255-268.
    • (1989) Biometrics , vol.45 , pp. 255-268
    • Lin, L.I.1
  • 28
    • 33846804160 scopus 로고    scopus 로고
    • Longitudinal variable selection by cross-validation in the case of many covariates
    • Cantoni E, Field C, Flemming JM, et al. Longitudinal variable selection by cross-validation in the case of many covariates. Stat Med 2007; 26: 919-930.
    • (2007) Stat Med , vol.26 , pp. 919-930
    • Cantoni, E.1    Field, C.2    Flemming, J.M.3
  • 29
    • 33645565987 scopus 로고    scopus 로고
    • Efficient Laplacian and adaptive Gaussian quadrature algorithms for multilevel generalized linear mixed models
    • Pinheiro JC, Chao EC,. Efficient Laplacian and adaptive Gaussian quadrature algorithms for multilevel generalized linear mixed models. J Comput Graph Stat 2006; 15: 58-81.
    • (2006) J Comput Graph Stat , vol.15 , pp. 58-81
    • Pinheiro, J.C.1    Chao, E.C.2
  • 30
    • 47749090885 scopus 로고    scopus 로고
    • Accuracy of Laplace approximation for discrete response mixed models
    • Harry Joe,. Accuracy of Laplace approximation for discrete response mixed models. Comput Data Anal 2008; 52: 5066-5074.
    • (2008) Comput Data Anal , vol.52 , pp. 5066-5074
    • Joe, H.1
  • 31
    • 35649000923 scopus 로고    scopus 로고
    • Random-effects models for multivariate repeated measures
    • Fieuws S, Verbeke G, Mollenbergs G,. Random-effects models for multivariate repeated measures. Stat Methods Med Res 2007; 16: 387-397.
    • (2007) Stat Methods Med Res , vol.16 , pp. 387-397
    • Fieuws, S.1    Verbeke, G.2    Mollenbergs, G.3
  • 32
    • 84892604994 scopus 로고    scopus 로고
    • The analysis of multivariate longitudinal data: A review
    • Verbeke G, Fieuws S, Mollenbergs G, et al. The analysis of multivariate longitudinal data: a review. Stat Methods Med Res 2014; 23: 42-59.
    • (2014) Stat Methods Med Res , vol.23 , pp. 42-59
    • Verbeke, G.1    Fieuws, S.2    Mollenbergs, G.3
  • 33
    • 5044220677 scopus 로고    scopus 로고
    • Joint modelling of multivariate longitudinal profiles: Pitfalls of the random-effects approach
    • Fieuws S, Verbeke G,. Joint modelling of multivariate longitudinal profiles: pitfalls of the random-effects approach. Stat Med 2004; 23: 3093-3104.
    • (2004) Stat Med , vol.23 , pp. 3093-3104
    • Fieuws, S.1    Verbeke, G.2
  • 34
    • 84993730752 scopus 로고    scopus 로고
    • A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family
    • Gueorguieva R,. A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family. Stat Model 2001; 1: 177-193.
    • (2001) Stat Model , vol.1 , pp. 177-193
    • Gueorguieva, R.1
  • 35
    • 33646133398 scopus 로고    scopus 로고
    • Joint analysis of repeatedly observed continuous and ordinal measures of disease severity
    • Gueorguieva R, Sanacora G,. Joint analysis of repeatedly observed continuous and ordinal measures of disease severity. Stat Med 2006; 25: 1307-1322.
    • (2006) Stat Med , vol.25 , pp. 1307-1322
    • Gueorguieva, R.1    Sanacora, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.