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Laboratory

Statistical Demography

Project

Recovering Rates and Distributions from Indirect Composite Observations

Jutta Gampe, Paul Eilers, Silvia Rizzi; in Collaboration with Carlo G. Camarda (French National Institute for Demographic Studies, Paris, France)

Often, quantities of interest cannot be estimated from empirical data directly. This is because some compounding mechanism has coarsened or distorted the original information. The Penalized Composite Link Model (PCLM) is a versatile tool that offers solutions to such problems.Detailed description

Research keywords: Statistics and Mathematics; Health Care, Public Health, Medicine, and Epidemiology; Ageing, Mortality and Longevity

Publications

Camarda, C. G.; Eilers, P. H. C.; Gampe, J.:
Journal of the Royal Statistical Society/C (2017). Forthcoming.
Camarda, C. G.; Eilers, P. H. C.; Gampe, J.:
Statistical Modelling 16:4, 279-296 (2016).
Rizzi, S.; Gampe, J.; Eilers, P. H. C.:
American Journal of Epidemiology 182:2, 138-147 (2015).
Rizzi, S.; Gampe, J.; Eilers, P. H. C.:
In: Muggeo, V. M. R.; Capursi, V.; Boscaino, G.; Lovison, G. (Eds.): Proceedings of the 28th International Workshop on Statistical Modelling, Palermo 8 - 12 July, 2013: volume 2, 757-760. Palermo, Italy: Università di Palermo, Dipartimento di Scienze Statistiche e Matematiche (2013).
Camarda, C. G.; Gampe, J.; Eilers, P. H. C.:
In: Komarek, A.; Nagy, S. (Eds.): Proceedings of the 27th International Workshop on Statistical Modelling, Prague 16 - 20 July, 2012, 57-62. Prague, Czech Republic: Charles University, Department of Probability and Mathematical Statistics (2012).
Camarda, C. G.; Eilers, P. H. C.; Gampe, J.:
In: Bowman, A. (Ed.): Proceedings of the 25th International Workshop on Statistical Modelling, Glasgow 5 - 9 July, 2010, 113-118. Glasgow, UK: University of Glasgow, Department of Statistics (2010).
Camarda, C. G.; Eilers, P. H. C.; Gampe, J.:
Statistical Modelling 8:4, 385-401 (2008).

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