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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 23

Zeitschriftenartikel

De Nicola, Giacomo; Kauermann, Göran und Höhle, Michael (2022): On assessing excess mortality in Germany during the COVID-19 pandemic. In: AStA Wirtschafts- und Sozialstatistisches Archiv, Bd. 16, Nr. 1: S. 5-20 [PDF, 935kB]

Küchenhoff, Helmut; Günther, Felix; Höhle, Michael und Bender, Andreas (2021): Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points. In: Epidemiology and Infection, Bd. 149, e68

Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Günther, Felix; Höhle, Michael und Bender, Andreas (2021): Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points. In: Epidemiology and infection, Bd. 149, e68 [PDF, 491kB]

Mahling, Monia; Höhle, Michael und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2013): Determining high-risk zones for unexploded World War II bombs by using point process methodology. In: Journal of the Royal Statistical Society, Bd. 62, Nr. 1: S. 181-199

Fenske, Nora; Fahrmeir, Ludwig; Hothorn, Torsten; Rzehak, Peter und Höhle, Michael (2013): Boosting structured additive quantile regression for longitudinal childhood obesity data. In: The International Journal of Biostatistics, Bd. 9, Nr. 1: S. 1-18 [PDF, 1MB]

Meyer, Sebastian; Elias, Johannes und Höhle, Michael (Juni 2012): A space-time conditional intensity model for invasive meningococcal disease occurrence. In: Biometrics, Bd. 68, Nr. 2: S. 607-616 [PDF, 4MB]

Höhle, Michael; Siedler, Anette; Ludwig, Maik; Bader, Hans-Martin; Heininger, Ulrich und Kries, Rüdiger von (2011): Assessment of varicella vaccine effectiveness in Germany: A time series approach. In: Epidemiology and Infection, Bd. 139, Nr. 11: S. 1710-1719

Höhle, Joachim und Höhle, Michael (2009): Accuracy assessment of digital elevation models by means of robust statistical methods. In: ISPRS Journal of Photogrammetry and Remote Sensing, Bd. 64: S. 398-406

Höhle, Michael (2009): Additive-multiplicative regression models for spatio-temporal epidemics. In: Biometrical Journal, Bd. 51, Nr. 6: S. 961-978

Höhle, Michael; Paul, Michaela und Held, Leonhard (2009): Statistical approaches to the surveillance of infectious diseases for veterinary public health. In: Preventive Veterinary Medicine, Bd. 91, Nr. 1: S. 2-10

Paper

Meyer, Sebastian; Elias, Johannes und Höhle, Michael (2010): A space-time conditional intensity model for infectious disease occurence. Department of Statistics: Technical Reports, Nr. 95 Biometrics, 68 [PDF, 4MB]

Höhle, Michael (2. Oktober 2008): Spatio-temporal epidemic modelling using additive-multiplicative intensity models. Department of Statistics: Technical Reports, Nr. 41 [PDF, 3MB]

Fenske, Nora; Fahrmeir, Ludwig; Rzehak, Peter und Höhle, Michael (25. September 2008): Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data. Department of Statistics: Technical Reports, Nr. 38 [PDF, 1MB]

Höhle, Michael; Paul, Michaela und Held, Leonhard (17. Dezember 2007): Statistical approaches to the surveillance of infectious diseases for veterinary public health. Department of Statistics: Technical Reports, Nr. 14 [PDF, 819kB]

Höhle, Michael und Held, Leonhard (20. Dezember 2006): Bayesian Estimation of the Size of a Population. Sonderforschungsbereich 386, Discussion Paper 499 [PDF, 618kB]

Höhle, Michael (2006): Poisson regression charts for the monitoring of surveillance time series. Sonderforschungsbereich 386, Discussion Paper 500 [PDF, 397kB]

Held, Leonhard; Hofmann, M.; Höhle, Michael und Schmid, Volker J. ORCID logoORCID: https://orcid.org/0000-0003-2195-8130 (2005): A two-component model for counts of infectious diseases. Sonderforschungsbereich 386, Discussion Paper 424 [PDF, 826kB]

Höhle, Michael und Riebler, A. (2005): The R-Package 'surveillance'. Sonderforschungsbereich 386, Discussion Paper 422 [PDF, 625kB]

Nilsson, D. und Höhle, Michael (2005): Methods for evaluating Decision Problems with Limited Information. Sonderforschungsbereich 386, Discussion Paper 421 [PDF, 379kB]

Hofmann, M.; Höhle, Michael und Held, Leonhard (2004): A stochastic model for multivariate surveillance of infectious diseases. Sonderforschungsbereich 386, Discussion Paper 394 [PDF, 296kB]

Held, Leonhard; Höhle, Michael und Hofmann, M. (2004): A statistical framework for the analysis of multivariate infectious disease surveillance data. Sonderforschungsbereich 386, Discussion Paper 402 [PDF, 563kB]

Buchbeitrag

Höhle, Michael (2010): Online Changepoint Detection in Categorical Time Series. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Berlin, Heidelberg: Physica-Verlag. S. 377-397

Höhle, Michael und Mazick, Anne (2010): Aberration detection in R illustrated by Danish mortality monitoring. In: Kass-Hout, Taha und Zhang, Xaiohui (Hrsg.): Biosurveillance: A Health Protection Priority. London: CRC Press. S. 215-238

Diese Liste wurde am Sat Dec 21 23:10:31 2024 CET erstellt.