A latent process model for dementia and psychometric tests

Lifetime Data Analysis

Volumn 14, Issue 2, 2008, Pages 115-133

  Ganiayre, Julien ^a,b   Commenges, Daniel ^a,b   Letenneur, Luc ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

Alzheimer's disease; Brownian motion; Dementia; Joint model; Latent process; Multivariate data; Ordinal data; Prediction

Indexed keywords

EID: 42449164756     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-007-9057-x     Document Type: Article

References (24)

1. Chib S and Greenberg E (1998). Analysis of multivariate probit models. Biometrika 85: 347-361
2. Commenges D, Gégout-Petit A (2005) Likelihood inference for incompletely observed stochastic processes: general ignorability conditions. arXiv:math.ST/0507151, http://www.arxiv.org/abs/math/0507151
3. Commenges D, Joly P, Letenneur L and Dartigues JF (2004). Incidence and prevalence of Alzheimer's disease or dementia using an Illness-death model. Stat Med 23: 199-210
4. Crum RM, Anthony JC, Bassett SS and Folstein MF (1993). Population-based norms for the mini-mental state examination by age and educational level. JAMA 18: 2386-2391
5. Dunson DB (2003). Dynamic latent trait models for multidimensional longitudinal data. J Am Stat Assoc 98: 555-563
6. Evans M and Swartz T (2000). Approximating integrals via Monte Carlo and deterministic methods. Oxford University Press, Oxford
7. Faucett CL and Thomas DC (1996). Simultaneously modeling censored survival data and repeatedly measured covariates: a Gibbs sampling approach. Stat Med 15: 1663-1685
8. Folstein MF, Folstein SE and McHugh PR (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psych Res 12: 189-198
9. Genz A (1992). Numerical computation of the multivariate normal probabilities. J Comput Graph Stat 1: 141-150
10. Hashemi R, Jacqmin-Gadda H and Commenges D (2003). A latent process model for joint modeling of events and marker. Lifetime Data Anal 9: 331-343
11. Hedeker D and Gibbons R (1994). A random-effects ordinal regression model for multilevel analysis. Biometrics 50: 933-944
12. Henderson R, Diggle P and Dobson A (2000). Joint modeling of longitudinal measurements and event time data. Biostatistics 1: 465-480
13. Jacqmin-Gadda H, Fabrigoule C, Commenges D and Dartigues JF (1997). A 5-year longitudinal study of the mini-mental state examination in normal aging. Am J Epidemiol 145: 498-506
14. Jacqmin-Gadda H, Commenges D and Dartigues JF (2006). Random changepoint model for joint modeling of cognitive decline and dementia. Biometrics 62: 254-260
15. Joly P, Commenges D, Helmer C and Letenneur L (2002). A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia. Biostatistics 3: 433-443
16. Lechevallier-Michel N, Fabrigoule C, Lafont S, Letenneur L and Dartigues JF (2004). Normative data for the MMSE, the Benton visual retention test, the Isaacs's set test, the digit symbol substitution test and the Zazzo's cancellation task in subjects over the age 70: results from the PAQUID Study. Revue de Neurologie 160: 1059-1070
17. Lee MLT, Degruttola V and Schoenfeld D (2000). A model for markers and latent health status. J Roy Stat Soc B 62: 747-762
18. Letenneur L, Gilleron V, Commenges D, Helmer C, Orgogozo JM and Dartigues JF (1999). Are sex and educational level independent predictors of dementia and Alzheimer's disease? Incidence data from the PAQUID project. J Neurol Neurosurg Psychiatry 6: 177-183
19. Marquardt D (1963). An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math 11: 431-441
20. McCullagh P and Nelder JA (1989). Generalized linear models. Chapman & Hall/CRC, Boca Raton
21. Proust C, Jacqmin-Gadda H, Taylor JMG, Ganiayre J and Commenges D (2006). A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data. Biometrics 62: 1014-1024
22. Todem D, Kim KM, Lesaffre E (2007) Latent-variable models for longitudinal data with bivariate ordinal outcomes. Stat Med 26: 1034-1054
23. Whitmore GA, Crowder MJ and Lawless JF (1998). Failure inference from a marker process based on a bivariate Wiener model. Lifetime Data Anal 4: 229-251
24. Wulfsohn MS and Tsiatis AA (1997). A joint model for survival and longitudinal data measured with error. Biometrics 53: 330-339