Chronic disease projections in heterogeneous ageing populations: Approximating multi-state models of joint distributions by modelling marginal distributions

Mathematical Medicine and Biology

Volumn 27, Issue 1, 2009, Pages 1-19

  Hoogenveen, Rudolf T ^a   van Baal, Pieter H M ^a   Boshuizen, Hendriek C ^a  

^a NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

Chronic disease; Competing risks; Heterogeneity; Life table; Markov model; Multi state model; Risk factors

Indexed keywords

DIFFERENTIAL EQUATIONS; DISEASES; POPULATION STATISTICS; RISK ASSESSMENT; RISK PERCEPTION;

AGING POPULATION; CHRONIC DISEASE; COMPETING RISKS; HETEROGENEITY; JOINT DISTRIBUTIONS; LIFE TABLE; MARGINAL DISTRIBUTION; MARKOV MODELING; MULTI-STATE MODEL; RISK FACTORS;

MARKOV PROCESSES;

AGE; ARTICLE; BIOLOGICAL MODEL; CHRONIC DISEASE; COMPARATIVE STUDY; COMPUTER SIMULATION; FEMALE; HUMAN; INCIDENCE; MALE; PROBABILITY; RISK FACTOR; STATISTICAL MODEL;

AGE FACTORS; CHRONIC DISEASE; COMPUTER SIMULATION; FEMALE; HUMANS; INCIDENCE; MALE; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; RISK FACTORS;

EID: 72049133564     PISSN: 14778599     EISSN: 14778602     Source Type: Journal    
DOI: 10.1093/imammb/dqp014     Document Type: Article

References (33)

1. AU, J. S., MANG, O. W., FOO, W. & LAW, S. C. (2004) Time trends of lung cancer incidence by histologic types and smoking prevalence in Hong Kong 1983-2000. Lung Cancer, 45, 143-152.
2. BARENDREGT, J. J., BONNEUX, L. & VAN DER MAAS, P. J. (1997) The health care costs of smoking. N. Engl. J. Med., 337, 1052-1057.
3. BARENDREGT, J. J., VAN OORTMARSSEN, G. J., VAN HOUT, B. A., VAN DEN BOSCH, J. M. & BONNEUX, L. (1998) Coping with multiple morbidity in a life table. Math. Popul. Stud., 7, 29-49, 109.
4. BARENDREGT, J. J., VAN OORTMARSSEN, G. J., VOS, T. & MURRAY, C. J. (2003) A generic model for the assessment of disease epidemiology: the computational basis of DisMod II. Popul. Health Metr., 1, 4.
5. BUXTON, M. J., DRUMMOND, M. F., VAN HOUT, B. A., PRINCE, R. L., SHELDON, T. A., SZUCS, T. & VRAY, M. (1997) Modelling in economic evaluation: an unavoidable fact of life. Health Econ., 6, 217-227.
6. CHIANG, C. (1968) Introduction to Stochastic Processes in Biostatistics. New York: John Wiley.
7. D'AMATO, G., LICCARDI, G. & D'AMATO, M. (2000) Environmental risk factors (outdoor air pollution and climatic changes) and increased trend of respiratory allergy. J. Investig. Allergol. Clin. Immunol., 10, 123-128.
8. FEENSTRA, T. L., HAMBERG-VAN REENEN, H. H., HOOGENVEEN, R. T. & RUTTEN-VAN MOLKEN, M. P. (2005) Cost-effectiveness of face-to-face smoking cessation interventions: a dynamic modeling study. Value Health, 8, 178-190.
9. FEENSTRA, T. L., VAN GENUGTEN, M. L., HOOGENVEEN, R. T., WOUTERS, E. F. & RUTTEN-VAN MOLKEN, M. P. (2001) The impact of aging and smoking on the future burden of chronic obstructive pulmonary disease: a model analysis in the Netherlands. Am. J. Respir. Crit. Care Med., 164, 590-596.
10. GRIFFIN, S., CLAXTON, K., HAWKINS, N. & SCULPHER, M. (2006) Probabilistic analysis and computationally expensive models: necessary and required? Value Health, 9, 244-252.
11. GUNNING-SCHEPERS, L. (1989) The health benefits of prevention: a simulation approach. Health Policy, 12, 1-255.
12. HOOGENVEEN, R. T., VAN BAAL, P. H., BOSHUIZEN, H. C. & FEENSTRA, T. L. (2008) Dynamic effects of smoking cessation on disease incidence, mortality and quality of life: the role of time since cessation. Cost Eff. Resour. Alloc., 6, 1.
13. HOUGAARD, P. (1999) Multi-state models: a review. Lifetime Data Anal., 5, 239-264.
14. JACOBS-VAN DER BRUGGEN, M. A., BOS, G., BEMELMANS, W. J., HOOGENVEEN, R. T., VIJGEN, S. M. & BAAN, C. A. (2007) Lifestyle interventions are cost-effective in people with different levels of diabetes risk: results from a modeling study. Diabetes Care, 30, 128-134.
15. KABIR, Z., BENNETT, K., SHELLEY, E., UNAL, B., CRITCHLEY, J. A. & CAPEWELL, S. (2007) Comparing primary prevention with secondary prevention to explain decreasing coronary heart disease death rates in Ireland, 1985-2000. BMC Public Health, 7, 117.
16. KUO, H. S., CHANG, H. J., CHOU, P., TENG, L. & CHEN, T. H. (1999) A Markov chain model to assess the efficacy of screening for non-insulin dependent diabetes mellitus (NIDDM). Int. J. Epidemiol., 28, 233-240.
17. LAUER, J. A., ROHRICH, K., WIRTH, H., CHARETTE, C., GRIBBLE, S. & MURRAY, C. J. (2003) PopMod: a longitudinal population model with two interacting disease states. Cost Eff. Resour. Alloc., 1, 6.
18. MANTON, K. & STALLARD, E. (1988) Chronic Disease Modelling: Measurement and Evaluation of the Risks of Chronic Disease Processes. London: Charles Griffin.
19. MULDER, I., HOOGENVEEN, R. T., SMIT, H. A. & BUENO DE MESQUITA, H. B. (2004) Modelling future mortality reduction through smoking cessation in the European Union. Eur. J. Public Health, 14, 79-85.
20. MURRAY, C. J., EZZATI, M., LOPEZ, A. D., RODGERS, A. & VANDER HOORN, S. (2003) Comparative quantification of health risks conceptual framework and methodological issues. Popul. Health Metr., 1, 1.
21. MURRAY, C. J., SALOMON, J. A. & MATHERS, C. (2000) A critical examination of summary measures of population health. Bull. World Health Organ., 78, 981-994.
22. OOSTENBRINK, J. B., RUTTEN-VAN MOLKEN, M. P., MONZ, B. U. & FITZGERALD, J. M. (2005) Probabilistic Markov model to assess the cost-effectiveness of bronchodilator therapy in COPD patients in different countries. Value Health, 8, 32-46.
23. PRENTICE, R. L., KALBFLEISCH, J. D., PETERSON JR, A. V., FLOURNOY, N., FAREWELL, V. T. & BRESLOW, N. E. (1978) The analysis of failure times in the presence of competing risks. Biometrics, 34, 541-554.
24. ROBERTS, M. G. & TOBIAS, M. I. (2001) The use of multistate life-table models for improving population health. IMA J. Math. Appl. Med. Biol., 18, 119-130.
25. ROUX, L., KUNTZ, K. M., DONALDSON, C. & GOLDIE, S. J. (2006) Economic evaluation of weight loss interventions in overweight and obese women. Obesity (Silver Spring), 14, 1093-1106.
26. SALAY, R. & LINCOLN, P. (2008) Health impact assessments in the European Union. Lancet, 372, 860-861.
27. STEENLAND, K. & ARMSTRONG, B. (2006) An overview of methods for calculating the burden of disease due to specific risk factors. Epidemiology, 17, 512-519.
28. STRUIJS, J. N., VAN GENUGTEN, M. L., EVERS, S. M., AMENT, A. J., BAAN, C. A. & VAN DEN BOS, G. A. (2005) Modeling the future burden of stroke in The Netherlands: impact of aging, smoking, and hypertension. Stroke, 36, 1648-1655.
29. TOBIAS, M. I. & ROBERTS, M. G. (2001) Modelling physical activity: a multi-state life-table approach. Aust. N. Z. J. Public Health, 25, 141-148.
30. VAN BAAL, P. H., HOOGENVEEN, R. T., DE WIT, G. A. & BOSHUIZEN, H. C. (2006) Estimating health-adjusted life expectancy conditional on risk factors: results for smoking and obesity. Popul. Health Metr., 4, 14.
31. VAN BAAL, P. H., POLDER, J. J., DE WIT, G. A., HOOGENVEEN, R. T., FEENSTRA, T. L., BOSHUIZEN, H. C., ENGELFRIET, P. M. & BROUWER, W. B. (2008) Lifetime medical costs of obesity: prevention no cure for increasing health expenditure. PLoS Med., 5, e29.
32. WOLFSON, M. C. (1994) POHEM-a framework for understanding and modelling the health of human populations. World Health Stat. Q., 47, 157-176.
33. ZEGER, S. L. & LIANG, K. Y. (1992) An overview of methods for the analysis of longitudinal data. Stat. Med., 11, 1825-1839.