Research in the Biostatistics Section

DFG H01687/9-1, Joint project with the Georg-August-Universität Göttingen

FG-BR 2202/1&2

1. Bretz F, Hothorn LA and Hsu JC (2003): Identifying effective and/or safe doses by stepwise confidence intervals for ratios. Statistics in Medicine 22, 847-857.


2. Hothorn LA and Bauss F (2004): Biostatistical design and analyses of long-term animal studies simulating human postmenopausal osteoporosis. Drug Information Journal 38 (1): 47-56


3. Dilba G, Bretz F, Guiard V, Hothorn LA (2004): Simultaneous confidence intervals for ratios with application to the comparison of several treatments with a control. Methods of Information in Medicine 43, 465-469.


4. Strassburger K, Bretz F and Hochberg Y (2004): Compatible confidence intervals for intersection union tests involving two hypothesis. In: Recent developments in multiple comparison procedures (editors: Benjamini, Y., Bretz, F., and Sarkar). Lecture Notes - Monograph Series 47: 129-142, Institute of Mathematical Statistics.


5. Bretz F (2004): Planung und Auswertung von Dosis-Wirkungs-Studien unter Verwendung von multiplen Testprozeduren. Habilitationsschrift an der Abteilung Biometrie, Medizinische Hochschule Hannover.


6. Dilba G (2005): Simultaneous Inference for Ratios of Location Parameters. Promotionsschrift am Fachbereich Gartenbau der Universität Hannover.


7. Dilba G, Bretz F, Hothorn LA, Guiard V (2006a): Power and sample size computations in simultaneous tests for non-inferiority based on relative margins. Statistics in Medicine 25 (7): 1131-1147


8. Dilba G, Bretz F, Guiard V (2006b): Simultaneous confidence sets and confidence intervals for multiple ratios. Journal of Statistical Planning and Inference 36 (8): 2640–2658


9. Hothorn LA (2006): Statistical analysis of in vivo anti cancer experiments: Tumor growth inhibition. Drug Information Journal 40: 229-238


10. Frömke C (2006): Relevance-shifted tests for high dimensional data with small sample sizes. Promotionsschrift an der naturwissenschaftlichen Fakultät der Universität Hannover.

Biometric methods for the quantitative proof of safety for non-target organisms, resistance factors and specific ingredients in the cultivation of genetically modified plants in field trials

BMBF project/BMBF funding programme