Affiliation: University of Munich
- Towards joint disease mappingLeonhard Held
Department of Statistics, University of Munich, Germany
Stat Methods Med Res 14:61-82. 2005....
- A two-component model for counts of infectious diseasesLeonhard Held
Department of Statistics, Ludwig Maximilians Universitat Munchen, Ludwigstrasse 33, 80539 Munchen, Germany
Biostatistics 7:422-37. 2006..Software to fit the proposed model can be obtained from http://www.statistik.lmu.de/ approximately mhofmann/twins...
- Joint spatial analysis of gastrointestinal infectious diseasesLeonhard Held
Department of Statistics, University of Munich, Ludwigstr 33, 80539 Munich, Germany
Stat Methods Med Res 15:465-80. 2006..We will illustrate our approach through the analysis of gastrointestinal diseases notification data obtained from the German infectious disease surveillance system, administered by the Robert Koch Institute in Berlin...
- Bayesian extrapolation of space-time trends in cancer registry dataVolker Schmid
Department of Statistics, University of Munich, Ludwigstrasse 33, Munich 80539, Germany
Biometrics 60:1034-42. 2004..Statistical inference is based on efficient algorithms to block update Gaussian Markov random fields, which have recently been proposed in the literature...
- Statistical approaches to the monitoring and surveillance of infectious diseases for veterinary public healthMichael Höhle
Department of Statistics, University of Munich, Munich, Germany
Prev Vet Med 91:2-10. 2009..To illustrate the applicability of the methodology in veterinary public health, data from the monitoring of rabies among fox in Hesse, Germany, are analysed...
- Age, period and cohort effects in Bayesian smoothing of spatial cancer survival with geoadditive modelsErik A Sauleau
Cancer Registry of Haut Rhin, Mulhouse, France
Stat Med 26:212-29. 2007..The reliability of our approach is attested by comparison with a parametric model and with several simulated data sets with known risk profiles...
- Bayesian variable selection for detecting adaptive genomic differences among populationsAndrea Riebler
Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland
Genetics 178:1817-29. 2008..For data sets with small sample sizes, high mutation rates, and/or long sequences, however, methods based on nucleotide statistics should be preferred...
- Cattle density and Shiga toxin-producing Escherichia coli infection in Germany: increased risk for most but not all serogroupsChristina Frank
Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
Vector Borne Zoonotic Dis 8:635-43. 2008..This needs to be taken into account in risk factor studies for non-O157 STEC, ideally by reporting risks separately by serogroup...