How good is the Prevent model for estimating the health benefits of prevention?
Research output: Contribution to journal › Journal article › Research › peer-review
Prevent is a public health model for estimating the effect on mortality of changes in exposure to risk factors. When the model is tested by simulating a development that has already taken place, the results may differ considerably from the actual situation. The purpose of this study is to test the Prevent model by applying it to a synthetic cohort in which the development is unaffected by concealed factors.
Original language | English |
---|---|
Journal | Journal of Epidemiology & Community Health |
Volume | 53 |
Issue number | 5 |
Pages (from-to) | 300-5 |
Number of pages | 6 |
ISSN | 0143-005X |
Publication status | Published - 1999 |
- Cause of Death, Cohort Studies, Computer Simulation, Health Promotion, Humans, Logistic Models, Models, Statistical, Mortality, Prevalence, Probability, Risk Factors, Time Factors
Research areas
ID: 44173894