Arbeitsbereich

Bevölkerung und Gesundheit

Auf einen Blick Projekte Publikationen Team

Projekt

Methoden, Modelle und Maßzahlen in der Bevölkerungsgesundheit

Mikko Myrskylä, Christian Dudel, Daniel Schneider, Enrique Acosta, Jo Mhairi Hale, Silvia Loi; in Zusammenarbeit mit Hector Pifarre i Arolas (Pompeu Fabra University, Barcelona, Spanien)

Ausführliche Beschreibung

To study population health, it is essential to have measures that accurately reflect the key dimensions of the underlying concept or process of interest and to have methods that allow us to model the underlying data structure. In this project, we work to develop new measures, methods, and models in order to extend the existing demographic toolbox for studying population health. For instance, in a paper recently published, we discuss the potential pitfalls of adjusting assessments of population health by population age structure, which under certain conditions can be misleading. We propose a novel measure of population health that is not affected by this problem and demonstrate its usefulness in studying the racial/ethnic mortality gap in the United States. Other work in this project studies the inertia of population growth and statistical inference for time series models.

Publikationen

Dudel, C.; Garbuszus, J. M.; Ott, N.; Werding, M.:

Income-(in)dependent equivalence scales and inequality measurement

German Economic Review 22:2, 235–255. (2021)    

Dudel, C.; Schneider, D. C.:

How bad could it be? Worst-case bounds on bias in multistate models due to unobserved transitions

Sociological Methods and Research, 1–22. (2021)    

Preston, S. H.; Vierboom, Y. C.:

The changing age distribution of the United States

Population and Development Review 47:2, 527–539. (2021)    

Dudel, C.; Myrskylä, M.:

Estimating the number and length of episodes in disability using a Markov chain approach

Population Health Metrics 18:15, 1–9. (2020)    

Kripfganz, S.; Schneider, D. C.:

Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models

Oxford Bulletin of Economics and Statistics 82:6, 1456–1481. (2020)    

Riffe, T.; Aburto, J. M.:

Lexis fields

Demographic Research 42:24, 713–726. (2020)    

Mehta, N. K.; Zheng, H.; Myrskylä, M.:

How do age and major risk factors for mortality interact over the life-course? Implications for health disparities research and public health policy

SSM-Population Health 8:100438, 1–10. (2019)    

Pifarré i Arolas, H.; Dudel, C.:

An ordinal measure of population health

Social Indicators Research 143:3, 1219–1243. (2019)    

Riffe, T.; Aburto, J. M.:

Lexis fields

MPIDR Working Paper WP-2019-001. (2019)    

Kröger, H.; Hoffmann, R.:

The association between CVD-related biomarkers and mortality in the Health and Retirement Survey

Demographic Research 38:62, 1933–2002. (2018)    

Bohk-Ewald, C.; Rau, R.:

Probabilistic mortality forecasting with varying age-specific survival improvements

Genus 73:1, 1–37. (2017)    

Pifarré i Arolas, H.; Dudel, C.:

An ordinal measure of population health

MPIDR Working Paper WP-2017-010. (2017)