M Greiner

发表

Demonstrating freedom from disease using multiple complex data sources 1: a new methodology based on scenario trees.

P A J Martin, A R Cameron, M Greiner, 2007, Preventive veterinary medicine.

Two-graph receiver operating characteristic (TG-ROC): update version supports optimisation of cut-off values that minimise overall misclassification costs.

M Greiner, M. Greiner, Matthias Greiner, 1996, Journal of immunological methods.

Two-graph receiver operating characteristic (TG-ROC): a Microsoft-EXCEL template for the selection of cut-off values in diagnostic tests.

M Greiner, M. Greiner, 1995, Journal of immunological methods.

[Quality assurance of data collection and data processing in epidemiologic study data].

M Greiner, M P Baumann, K H Zessin, 2001, DTW. Deutsche tierarztliche Wochenschrift.

Application of diagnostic tests in veterinary epidemiologic studies.

M Greiner, I A Gardner, M. Greiner, 2000, Preventive veterinary medicine.

Campylobacter Monitoring in German Broiler Flocks: An Explorative Time Series Analysis

M Greiner, M. Greiner, M G Doherr, 2009, Zoonoses and public health.

Demonstrating freedom from disease using multiple complex data sources 2: case study--classical swine fever in Denmark.

A R Cameron, M Greiner, M. Greiner, 2007, Preventive veterinary medicine.

Epidemiologic issues in the validation of veterinary diagnostic tests.

M Greiner, I A Gardner, M. Greiner, 2000, Preventive veterinary medicine.

Simulation model estimates of test accuracy and predictive values for the Danish Salmonella surveillance program in dairy herds.

M Greiner, L D Warnick, M. Greiner, 2006, Preventive veterinary medicine.

A modified ROC analysis for the selection of cut-off values and the definition of intermediate results of serodiagnostic tests.

M Greiner, M. Greiner, D. Sohr, 1995, Journal of immunological methods.