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Multivariate analysis of dependent count and survival data

English title Multivariate analysis of dependent count and survival data
Applicant Held Leonhard
Number 116776
Funding scheme Project funding (Div. I-III)
Research institution Institut für Epidemiologie, Biostatistik und Prävention Universität Zürich
Institution of higher education University of Zurich - ZH
Main discipline Mathematics
Start/End 01.04.2007 - 31.03.2009
Approved amount 176'611.00
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All Disciplines (3)

Medical Statistics
Methods of Epidemiology and Preventive Medicine

Keywords (11)

Bayesian statistics; Factor analysis; Markov chain Monte Carlo; Spatial epidemiology; Structured regression; Survival analysis; Competing risks; Infectious disease epidemiology; Statistical modelling; Structured factor analysis; Outbreak detection

Lay Summary (English)

Lay summary
This project aims to develop novel statistical methods for the analysis of dependent multivariate count and survival data from epidemiology. First, tools for structured factor analysis in Bayesian hierarchical Poisson and competing risk regression models will be developed. Emphasis will be on designing efficient Markov chain Monte Carlo (MCMC) algorithms based on auxiliary variables, enabling automatic model selection via reversible jump MCMC. The methodology will be applied to joint spatial, temporal and spatio-temporal analyses of multivariate area-level cancer registry data as well as to multivariate individual-level survival data. Secondly, statistical methods for the analysis of multivariate infectious disease surveillance data will be developed. Appropriate time-series models to adjust for possible local outbreaks will be modified and extended to incorporate multivariate and, in particular, spatio-temporal dependencies. One particular area of application of the methodology is outbreak detection for multivariate surveillance data.
Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants


Associated projects

Number Title Start Funding scheme
137919 Statistical methods for spatio-temporal modelling and prediction of infectious diseases 01.03.2012 Project funding (Div. I-III)
124429 Multivariate analysis of dependent count data 01.04.2009 Project funding (Div. I-III)
196247 SUSPend: Impact of Social distancing policies and Underreporting on the SPatio-temporal spread of COVID-19 01.06.2020 Special Call on Coronaviruses