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Volumn 66, Issue 3, 2013, Pages 470-487

Analysis of multivariate mixed longitudinal data: A flexible latent process approach

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ANALYSIS OF VARIANCE; COHORT ANALYSIS; DEMENTIA; FEMALE; FRANCE; HUMAN; LONGITUDINAL STUDY; MALE; MENTAL HEALTH; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; PROSPECTIVE STUDY; PSYCHOMETRY; REFERENCE VALUE; REPRODUCIBILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

EID: 84885412102     PISSN: 00071102     EISSN: 20448317     Source Type: Journal    
DOI: 10.1111/bmsp.12000     Document Type: Article
Times cited : (87)

References (43)
  • 2
    • 18744394346 scopus 로고    scopus 로고
    • The 9 year cognitive decline before dementia of the Alzheimer type: A prospective population-based study
    • doi:10.1093/brain/awh451
    • Amieva, H., Jacqmin-Gadda, H., Orgogozo, J., LeCarret, N., Helmer, C., Letenneur, L., Dartigues, J. (2005). The 9 year cognitive decline before dementia of the Alzheimer type: A prospective population-based study. Brain, 128, 1093-1101. doi:10.1093/brain/awh451
    • (2005) Brain , vol.128 , pp. 1093-1101
    • Amieva, H.1    Jacqmin-Gadda, H.2    Orgogozo, J.3    LeCarret, N.4    Helmer, C.5    Letenneur, L.6    Dartigues, J.7
  • 5
    • 0142041441 scopus 로고    scopus 로고
    • Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes
    • doi:10.1037/1082-989X.8.3.338
    • Bauer, D. J., & Curran, P. J. (2003). Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes. Psychological Methods, 8(3), 338-363. doi:10.1037/1082-989X.8.3.338
    • (2003) Psychological Methods , vol.8 , Issue.3 , pp. 338-363
    • Bauer, D.J.1    Curran, P.J.2
  • 6
    • 79953016399 scopus 로고    scopus 로고
    • Comparison of CTT and Rasch-based approaches for the analysis of longitudinal patient reported outcomes
    • doi:10.1002/sim.4153
    • Blanchin, M., Hardouin, J.-B., Le Neel, T., Kubis, G., Blanchard, C., Mirallié, E., & Sébille, V. (2011). Comparison of CTT and Rasch-based approaches for the analysis of longitudinal patient reported outcomes. Statistics in Medicine, 30(8), 825-838. doi:10.1002/sim.4153
    • (2011) Statistics in Medicine , vol.30 , Issue.8 , pp. 825-838
    • Blanchin, M.1    Hardouin, J.-B.2    Le Neel, T.3    Kubis, G.4    Blanchard, C.5    Mirallié, E.6    Sébille, V.7
  • 9
    • 78649517048 scopus 로고    scopus 로고
    • A two-tier full-information item factor analysis model with applications
    • doi:10.1007/s11336-010-9178-0
    • Cai, L. (2010). A two-tier full-information item factor analysis model with applications. Psychometrika, 75, 581-612. doi:10.1007/s11336-010-9178-0
    • (2010) Psychometrika , vol.75 , pp. 581-612
    • Cai, L.1
  • 10
    • 84927163182 scopus 로고    scopus 로고
    • Using statistical procedures to identify differentially functioning test items
    • doi:10.1111/j.1745-3992.1998.tb00619.x
    • Clauser, B., & Mazor, K. (1998). Using statistical procedures to identify differentially functioning test items. Educational Measurement: Issues and Practice, 17, 31-44. doi:10.1111/j.1745-3992.1998.tb00619.x
    • (1998) Educational Measurement: Issues and Practice , vol.17 , pp. 31-44
    • Clauser, B.1    Mazor, K.2
  • 11
    • 29344446857 scopus 로고    scopus 로고
    • Longitudinal profiling of health care units based on continuous and discrete patient outcomes
    • doi:10.1093/biostatistics/kxi036
    • Daniels, M. J., & Normand, S. L. (2006). Longitudinal profiling of health care units based on continuous and discrete patient outcomes. Biostatistics, 7, 1-15. doi:10.1093/biostatistics/kxi036
    • (2006) Biostatistics , vol.7 , pp. 1-15
    • Daniels, M.J.1    Normand, S.L.2
  • 12
    • 0242595643 scopus 로고    scopus 로고
    • Dynamic latent trait models for multidimensional longitudinal data
    • doi:10.1198/016214503000000387
    • Dunson, D. (2003). Dynamic latent trait models for multidimensional longitudinal data. Journal of the American Statistical Association, 98, 555-563. doi:10.1198/016214503000000387
    • (2003) Journal of the American Statistical Association , vol.98 , pp. 555-563
    • Dunson, D.1
  • 13
    • 35649006830 scopus 로고    scopus 로고
    • Bayesian methods for latent trait modelling of longitudinal data
    • doi:10.1177/0962280206075309
    • Dunson, D. (2007). Bayesian methods for latent trait modelling of longitudinal data. Statistical Methods in Medical Research, 16, 399-415. doi:10.1177/0962280206075309
    • (2007) Statistical Methods in Medical Research , vol.16 , pp. 399-415
    • Dunson, D.1
  • 14
    • 63649122416 scopus 로고    scopus 로고
    • Vitamin B-12, apolipoprotein E genotype, and cognitive performance in community-living older adults: Evidence of a gene-micronutrient interaction
    • doi:10.3945/ajcn.2008.26969
    • Feng, L., Li, J., Yap, K. B., Kua, E. H., & Ng, T. P. (2009, April). Vitamin B-12, apolipoprotein E genotype, and cognitive performance in community-living older adults: Evidence of a gene-micronutrient interaction. American Journal of Clinical Nutrition, 89, 1263-1268. doi:10.3945/ajcn.2008.26969
    • (2009) American Journal of Clinical Nutrition , vol.89 , pp. 1263-1268
    • Feng, L.1    Li, J.2    Yap, K.B.3    Kua, E.H.4    Ng, T.P.5
  • 16
    • 0016823810 scopus 로고
    • Mini-mental state'. A practical method for grading the cognitive state of patients for the clinician
    • Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). 'Mini-mental state'. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-1998.
    • (1975) Journal of Psychiatric Research , vol.12 , Issue.3 , pp. 189-1998
    • Folstein, M.F.1    Folstein, S.E.2    McHugh, P.R.3
  • 17
    • 0030190203 scopus 로고    scopus 로고
    • Fully symmetric interpolatory rules for multiple integrals over infinite regions with gaussian weight
    • doi:10.1016/0377-0427(95)00232-4
    • Genz, A., & Keister, B. (1996). Fully symmetric interpolatory rules for multiple integrals over infinite regions with gaussian weight. Journal of Computational and Applied Mathematics, 71, 299-309. doi:10.1016/0377-0427(95)00232-4
    • (1996) Journal of Computational and Applied Mathematics , vol.71 , pp. 299-309
    • Genz, A.1    Keister, B.2
  • 18
    • 0031656414 scopus 로고    scopus 로고
    • Estimating a treatment effect from multi-dimensional longitudinal data
    • Gray, S. M., & Brookmeyer, R. (1998). Estimating a treatment effect from multi-dimensional longitudinal data. Biometrics, 54, 976-988.
    • (1998) Biometrics , vol.54 , pp. 976-988
    • Gray, S.M.1    Brookmeyer, R.2
  • 19
    • 33646133398 scopus 로고    scopus 로고
    • Joint analysis of repeatedly observed continuous and ordinal measures of disease severity
    • doi:10.1002/sim.2270
    • Gueorguieva, R. V., & Sanacora, G. (2006). Joint analysis of repeatedly observed continuous and ordinal measures of disease severity. Statistics in Medicine, 25, 1307-1322. doi:10.1002/sim.2270
    • (2006) Statistics in Medicine , vol.25 , pp. 1307-1322
    • Gueorguieva, R.V.1    Sanacora, G.2
  • 20
    • 0034660084 scopus 로고    scopus 로고
    • A change point model for estimating the onset of cognitive decline in preclinical Alzheimer's disease
    • doi:10.1002/(SICI)1097-0258(20000615/30)19:11/123.0.CO;2-3
    • Hall, C. B., Lipton, R. B., Sliwinski, M., & Stewart, W. F. (2000). A change point model for estimating the onset of cognitive decline in preclinical Alzheimer's disease. Statistics in Medicine, 19(11-12), 1555-1566. doi:10.1002/(SICI)1097-0258(20000615/30)19:11/123.0.CO;2-3
    • (2000) Statistics in Medicine , vol.19 , Issue.11-12 , pp. 1555-1566
    • Hall, C.B.1    Lipton, R.B.2    Sliwinski, M.3    Stewart, W.F.4
  • 23
    • 77958544401 scopus 로고    scopus 로고
    • Semi-parametric latent process model for longitudinal ordinal data: Application to cognitive decline
    • doi:10.1002/sim.4035
    • Jacqmin-Gadda, H., Proust-Lima, C., & Amieva, H. (2010). Semi-parametric latent process model for longitudinal ordinal data: Application to cognitive decline. Statistics in Medicine, 29(26), 2723-2731. doi:10.1002/sim.4035
    • (2010) Statistics in Medicine , vol.29 , Issue.26 , pp. 2723-2731
    • Jacqmin-Gadda, H.1    Proust-Lima, C.2    Amieva, H.3
  • 25
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • Laird, N., & Ware, J. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.1    Ware, J.2
  • 26
  • 27
    • 33645077856 scopus 로고    scopus 로고
    • A mixed-effects regression model for longitudinal multivariate ordinal data
    • doi:10.1111/j.1541-0420.2005.00408.x
    • Liu, L. C., & Hedeker, D. (2006). A mixed-effects regression model for longitudinal multivariate ordinal data. Biometrics, 62(1), 261-268. doi:10.1111/j.1541-0420.2005.00408.x
    • (2006) Biometrics , vol.62 , Issue.1 , pp. 261-268
    • Liu, L.C.1    Hedeker, D.2
  • 28
    • 0013297364 scopus 로고    scopus 로고
    • Beyond SEM: General latent variable modeling
    • doi:10.2333/bhmk.29.81
    • Muthén, B. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81-117. doi:10.2333/bhmk.29.81
    • (2002) Behaviormetrika , vol.29 , pp. 81-117
    • Muthén, B.1
  • 29
    • 0032325189 scopus 로고    scopus 로고
    • Longitudinal studies of achievement growth using latent variable modeling
    • Muthén, B. O., & Khoo, S. T. (1998). Longitudinal studies of achievement growth using latent variable modeling. Learning and Individual Differences, 10(2), 73-101.
    • (1998) Learning and Individual Differences , vol.10 , Issue.2 , pp. 73-101
    • Muthén, B.O.1    Khoo, S.T.2
  • 31
    • 0032969449 scopus 로고    scopus 로고
    • Finite mixture modeling with mixture outcomes using the EM algorithm
    • doi:10.1111/j.0006-341X.1999.00463.x
    • Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55(2), 463-469. doi:10.1111/j.0006-341X.1999.00463.x
    • (1999) Biometrics , vol.55 , Issue.2 , pp. 463-469
    • Muthén, B.1    Shedden, K.2
  • 32
    • 33845493274 scopus 로고    scopus 로고
    • A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data
    • doi:10.1111/j.1541-0420.2006.00573.x
    • Proust, C., Jacqmin-Gadda, H., Taylor, J. M., Ganiayre, J., & Commenges, D. (2006). A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data. Biometrics, 62(4), 1014-1024. doi:10.1111/j.1541-0420.2006.00573.x
    • (2006) Biometrics , vol.62 , Issue.4 , pp. 1014-1024
    • Proust, C.1    Jacqmin-Gadda, H.2    Taylor, J.M.3    Ganiayre, J.4    Commenges, D.5
  • 33
    • 33846589298 scopus 로고    scopus 로고
    • Sensitivity of four psychometric tests to measure cognitive changes in brain aging-population based studies
    • doi:10.1093/aje/kwk017
    • Proust-Lima, C., Amieva, H., Dartigues, J.-F. & Jacqmin-Gadda, H. (2007). Sensitivity of four psychometric tests to measure cognitive changes in brain aging-population based studies. American Journal of Epidemiology 165, 344-350. doi:10.1093/aje/kwk017
    • (2007) American Journal of Epidemiology , vol.165 , pp. 344-350
    • Proust-Lima, C.1    Amieva, H.2    Dartigues, J.-F.3    Jacqmin-Gadda, H.4
  • 34
    • 34247551217 scopus 로고    scopus 로고
    • A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome
    • doi:10.1002/sim.2659
    • Proust-Lima, C., Letenneur, L., & Jacqmin-Gadda, H. (2007). A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome. Statistics in Medicine, 26, 2229-2245. doi:10.1002/sim.2659
    • (2007) Statistics in Medicine , vol.26 , pp. 2229-2245
    • Proust-Lima, C.1    Letenneur, L.2    Jacqmin-Gadda, H.3
  • 35
    • 58749099434 scopus 로고    scopus 로고
    • Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach
    • doi:10.1177/0962280212445839
    • Proust-Lima, C., Joly, P., & Jacqmin-Gadda, H. (2009). Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach. Computational Statistics and Data Analysis, 53, 1142-1154. doi:10.1177/0962280212445839
    • (2009) Computational Statistics and Data Analysis , vol.53 , pp. 1142-1154
    • Proust-Lima, C.1    Joly, P.2    Jacqmin-Gadda, H.3
  • 36
    • 80054905986 scopus 로고    scopus 로고
    • Misuse of the linear mixed model when evaluating risk factors of cognitive decline
    • doi:10.1093/aje/kwr243
    • Proust-Lima, C., Dartigues, J.-F., & Jacqmin-Gadda, H. (2011). Misuse of the linear mixed model when evaluating risk factors of cognitive decline. American Journal of Epidemiology, 174(9), 1077-1088. doi:10.1093/aje/kwr243
    • (2011) American Journal of Epidemiology , vol.174 , Issue.9 , pp. 1077-1088
    • Proust-Lima, C.1    Dartigues, J.-F.2    Jacqmin-Gadda, H.3
  • 37
    • 10044290370 scopus 로고    scopus 로고
    • Generalized multilevel structural equation modelling
    • doi:10.1007/BF02295939
    • Rabe-Hesketh, S., Skrondal, A., & Pickles, A. (2004). Generalized multilevel structural equation modelling. Psychometrika, 69, 167-190. doi:10.1007/BF02295939
    • (2004) Psychometrika , vol.69 , pp. 167-190
    • Rabe-Hesketh, S.1    Skrondal, A.2    Pickles, A.3
  • 38
    • 84972507631 scopus 로고
    • Monotone regression splines in action
    • Ramsay, J. (1988). Monotone regression splines in action. Statistical Science, 3(4), 425-461.
    • (1988) Statistical Science , vol.3 , Issue.4 , pp. 425-461
    • Ramsay, J.1
  • 40
    • 0033636129 scopus 로고    scopus 로고
    • Latent variable models for longitudinal data with multiple continuous outcomes
    • doi:10.1111/j.0006-341X.2000.01047.x
    • Roy, J., & Lin, X. (2000). Latent variable models for longitudinal data with multiple continuous outcomes. Biometrics, 56, 1047-1054. doi:10.1111/j.0006-341X.2000.01047.x
    • (2000) Biometrics , vol.56 , pp. 1047-1054
    • Roy, J.1    Lin, X.2
  • 42
    • 36749051765 scopus 로고    scopus 로고
    • Latent variable modelling: A survey
    • doi:10.1111/j.1467-9469.2007.00573.x
    • Skrondal, A., & Rabe-Hesketh, S. (2007). Latent variable modelling: A survey. Scandinavian Journal of Statistics, 34, 712-745. doi:10.1111/j.1467-9469.2007.00573.x
    • (2007) Scandinavian Journal of Statistics , vol.34 , pp. 712-745
    • Skrondal, A.1    Rabe-Hesketh, S.2
  • 43
    • 33847114322 scopus 로고    scopus 로고
    • Latent-variable models for longitudinal data with bivariate ordinal outcomes
    • doi:10.1002/sim.2599
    • Todem, D., Kim, K., & Lesaffre, E. (2007). Latent-variable models for longitudinal data with bivariate ordinal outcomes. Statistics in Medicine, 26, 1034-1054. doi:10.1002/sim.2599
    • (2007) Statistics in Medicine , vol.26 , pp. 1034-1054
    • Todem, D.1    Kim, K.2    Lesaffre, E.3


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