Pieter H van Baal
Biographic Data
| ID | 5535933 |
|---|---|
| NAME | Pieter H van Baal |
| GIVEN NAMES | Pieter H |
| FAMILY NAME | van Baal |
| SIGNATURE | VAN BAAL P H |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Forecasting Lifetime and Aggregate Long-term Care Spending
OBJECTIVE: The impact population aging exerts on future levels of long-term care (LTC) spending is an urgent topic in which few studies have accounted for disability trends. We forecast individual lifetime and population aggregate annual LTC spending for the Dutch 55+ population to 2030 accounting for changing disability patterns. METHODS: Three levels of (dis)ability were distinguished: none, mild, and severe. Two-part models were used to estima…
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
No prominent works on this page.
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
Forecasting Lifetime and Aggregate Long-term Care Spending
OBJECTIVE: The impact population aging exerts on future levels of long-term care (LTC) spending is an urgent topic in which few studies have accounted for disability trends. We forecast individual lifetime and population aggregate annual LTC spending for the Dutch 55+ population to 2030 accounting for changing disability patterns. METHODS: Three levels of (dis)ability were distinguished: none, mild, and severe. Two-part models were used to estima…
Demography (2 works) · Medicine (2 works) · Biostatistics (1 work) · Chronic Disease Management Strategies (1 work) · Cohort (1 work) · Demographic economics (1 work) · Demography (1 work) · Economics (1 work) · Environmental health (1 work) · Epidemiology (1 work)