An illness-death stochastic model in the analysis of longitudinal dementia data

Statistics in Medicine

Volumn 22, Issue 9, 2003, Pages 1465-1475

  Harezlak, Jaroslaw ^a   Gao, Sujuan ^b   Hui, Siu L ^b,c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c REGENSTRIEF INSTITUTE   (United States)

Author keywords

Dementia studies; Informative missing; Longitudinal data; Stochastic model

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL STUDY; COHORT ANALYSIS; DATA ANALYSIS; DEATH; DEMENTIA; FEMALE; HEALTH STATUS; HEALTH SURVEY; HUMAN; INCIDENCE; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MAXIMUM LIKELIHOOD METHOD; MORTALITY; POPULATION DYNAMICS; PROBABILITY; SIMULATION; STATISTICAL ANALYSIS; STOCHASTIC MODEL; UNITED STATES;

AGED; AGED, 80 AND OVER; BIAS (EPIDEMIOLOGY); COHORT STUDIES; COMPUTER SIMULATION; DEMENTIA; HUMANS; INCIDENCE; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, STATISTICAL; STOCHASTIC PROCESSES;

EID: 0038702132     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1506     Document Type: Article

References (19)

1. Little JA, Rubin DB. Statistical Analysis with Missing Data. Wiley: New York, 1987.
2. Laird NM. Missing data in longitudinal studies. Statistics in Medicine 1988; 7:305-315.
3. Diggle P, Kenward MG. Informative drop-out in longitudinal data analysis. Applied Statistics 1994; 43:49-93.
4. Little JA. Modeling the drop-out mechanism in repeated-measure studies. Journal of the American Statistical Association 1995; 90:1112-1121.
5. Gao S, Hui SL. Estimating the incidence of dementia from two-phase sampling with nonignorable missing data. Statistics in Medicine 2000; 19:1545-1554.
6. Chiang CL. Introduction to Stochastic Processes in Biostatistics. Wiley: New York, 1968.
7. Chiang CL. An Introduction to Stochastic Processes and Their Applications. R.E. Krieger Publishing Co: New York, 1980.
8. Beck GJ. Stochastic survival models with competing risks and covariates. Biometrics 1979; 35:427-438.
9. Chiang YK, Hardy RJ, Hawkins CM, Kapadia AS. An illness-death process with time-dependent covariates. Biometrics 1989; 45:669-681.
10. Keiding N. Age-specific incidence and prevalence: a statistical perspective. Journal of the Royal Statistical Society, Series A 1991; 154:371-412.
11. Hougaard P. Analysis of Multivariate Survival Data. Springer-Verlag: New York, 2000.
12. Kalbfleisch JD, Lawless JF. The analysis of panel data under a Markov assumption. Journal of the American Statistical Association 1985; 80:863-871.
13. Kalbfleisch JD, Lawless JF. Likelihood analysis of multi-state models for disease incidence and mortality, Statistics in Medicine 1988; 7:149-160.
14. Craig BA, Newton MA. Modeling the history of diabetic retinopathy. In Case Studies in Bayesian Statistics, Volume III, Gatsonis C, Krickeberg K, Fienberg S, Wermuth N (eds). Springer-Verlag: New York, 1997.
15. Hui SL, Gao S. Spacing of follow-up waves in incidence studies. Statistics in Medicine 2000; 19:1567-1575.
16. Ross SM. Introduction to Probability Models. Academic Press Inc.: San Diego, CA, 1993.
17. Hendrie HC, Ohunniyi A, Hall KS, Baiyewu O, Unverzagt FW, Gureje O, Gao S, Evans RM, Ogunseyinde AO, Adeyinka AO, Musick BS, Hui SL. Incidence of dementia and Alzheimer disease in 2 communities: Yoruba residing in Ibadan, Nigeria, and African Americans residing in Indianapolis, Indiana. Journal of the American Medical Association 2001; 285:739-747.
18. Gao S, Hendrie HC, Hall KS, Hui SL. The relationship between age, gender and the incidence of dementia and Alzheimer's disease: a meta-analysis. Archives of General Psychiatry 1998; 55:809-815.
19. Hall KS, Gao S, Emsley CL, Ogunniyi AO, Morgan O, Hendrie HC. Community screening interview for dementia (CSI'D'): performance in five disparate study sites. International Psychogeriatrics 2000; 15:521-531.