Related Experiment Video
Updated: May 14, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Modeling the relationship between health and health care expenditures using a latent Markov model
Bram Wouterse1, Martijn Huisman, Bert R Meijboom
1Tranzo Scientific Center for Care and Welfare, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands. b.wouterse@uvt.nl
Abstract:
We investigate the dynamic relationship between several dimensions of health and health care expenditures for older individuals. Health data from the Longitudinal Aging Survey Amsterdam is combined with data on hospital and long term care use. We estimate a latent variable based jointly on observed health indicators and expenditures. Annual transition probabilities between states of the latent variable are estimated using a Markov model. States associated with good current health and low annual health care expenditures are not associated with lower cumulative health care expenditures over remaining lifetime. We conclude that, although the direct health care cost saving effect is limited, the considerable gain in healthy lifeyears can make investing in the improvement of health of the older population worthwhile.
Related Concept Videos
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results from...
Concepts of Health and Illness
Mechanistic Models: Compartment Models in Individual and Population Analysis
Modeling with Differential Equations
Pharmacodynamic Models: Additive and Proportional Drug Effect Model