Laboratory

Statistical Demography

Project

Estimating Smooth Rates from Interval-Censored Data

Jutta Gampe, Hein Putter (Leiden University Medical Center, Netherlands), Paul Eilers (Erasmus Medical Center, Netherlands)

Flexible modeling of hazards is complicated when data are interval-censored so that neither event times nor exposures are available. We supplement an EM-type algorithm by a smoothing step to overcome these problems. Detailed Description

Research Keywords:

Statistics and Mathematics

Publications

Gampe, J.; Putter, H.; Eilers, P. H. C.:

Hazard modelling for interval-censored data by smoothing within the EM algorithm

In: Proceedings of the 30th International Workshop on Statistical Modelling, Linz, Austria, 6-10 July 2015, 181–186. Linz: Johannes Kepler University. (2015)

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Research

Department Myrskylä
Fertility and Well-Being
Population Health
Research Group: Labor Demography
Digital and Computational Demography (Zagheni)
Migration and Mobility
Population Dynamics and Sustainable Well-Being
Joint Research Labs
Demographic Data
Statistical Demography
Independent Research Groups
Research Group: Lifespan Inequalities
Research Group: Kinship Inequalities
Research Group: Gender Inequalities and Fertility