Univ.-Prof. Dr. Martin Posch

 

Section for Medical Statistics
Center for Medical Statistics and Informatics
Medical University of Vienna
Spitalgasse 23, A-1090 Wien
Tel: +43-1- 40400/7489
Fax: +43-1-40400/7477
e-mail: Martin.Posch@meduniwien.ac.at
URL: www.meduniwien.ac.at/user/martin.posch

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Biographical Sketch

Since September 2012 Martin Posch is professor of Medical Statistics at the Medical University of Vienna and head of the Section of Medical Statistics. Lastly, he worked as statistical expert at the European Medicines Agency (London, UK) in the Human Medicines Development and Evaluation sector, where he contributed to guideline development and the assessment of study designs. He has a PhD in Mathematics from the University of Vienna and was scientific assistant and associate professor at the Medical University of Vienna. His research interests are group sequential trials, adaptive designs and multiple testing, focusing on applications in clinical trials and Bioinformatics. Martin Posch serves as Associate Editor of Biometrics and Biometrical Journal.

 

Selected Publications

Gatekeepers and Enablers: How Drug Regulators Respond to a Challenging and Changing Environment by Moving Toward a Proactive Attitude
F Ehmann, M Papaluca Amati, T Salmonson, M Posch, S Vamvakas, R Hemmings, H G Eichler and C K Schneider
Clinical Pharmacology & Therapeutics (2013)  doi:10.1038/clpt.2013.14

Adaptive Budgets in Clinical Trials.
Posch M and Bauer P, Statistics in Biopharmaceutical Research, to appear, 2013

Modeling and Simulation to Optimize the Design and Analysis of Confirmatory Trials, Characterize Risk–Benefit, and Support Label Claims
Marshall S F, R Hemmings, F Josephson, M O Karlsson, M Posch and J-L Steimer, CPT: Pharmacometrics & Systems Pharmacology, 2, e27; doi:10.1038/psp.2013.4 (2013)

Unplanned adaptations before breaking the blind.
Posch M, Proschan MA., Stat Med. 2012, doi: 10.1002/sim.5361. [Epub ahead of print]

False discovery rate control in two-stage designs.
Zehetmayer S, Posch M., BMC Bioinformatics. 2012 May 6;13(1):81.

Perspective on adaptive designs: 4 years European Medicines Agency reflection paper, 1 year draft US FDA guidance - where are we now?
Brenda G, Koch A, Miller F, Posch M, Vandemeulebroecke M, Wang SJ, Clinical Investigation, 2:235-240 (2012)

Type I error rate control in adaptive designs for confirmatory clinical trials with treatment selection at interim.
Posch M, Maurer W, Bretz F., Pharm Stat. 2011 Mar-Apr;10(2):96-104. doi: 10.1002/pst.413.

Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests.
Bretz F, Posch M, Glimm E, Klinglmueller F, Maurer W, Rohmeyer K., Biom J. 2011 Nov;53(6):894-913. doi: 10.1002/bimj.201000239

Familywise error control in multi-armed response-adaptive two-stage designs.
Gutjahr G, Posch M, Brannath W., J Biopharm Stat. 2011 Jul;21(4):818-30.
 
Special issue for dealing with multiplicity in drug development: current state and new directions--guest editors' note.
Dmitrienko A, Posch M.,J Biopharm Stat. 2011 Jul;21(4):581-2. No abstract available.
 
Cross-platform comparison of microarray data using order restricted inference.
Klinglmueller F, Tuechler T, Posch M., Bioinformatics. 2011 Apr 1;27(7):953-60

Post-hoc power estimation in large-scale multiple testing problems [pdf]
Zehetmayer S, Posch M,  2010, 26(8):1050-6.

Type I error rate control in adaptive designs for confirmatory clinical trials with treatment selection at interim.
Posch M, Maurer W, Bretz F, Pharmaceutical Statistics (in press), 2010

Bauer P, Koenig F, Brannath W, Posch M, Statistics in Medicine, 29:1 - 13, 2010

Hunting for significance with the false discovery rate
Posch M, Zehetmayer S, Bauer P, Journal of the American Statistical Association, 104:832-840, 2009

Optimal choice of the number of treatments to be included in a clinical trial
Stallard N, Posch M, Friede T, Koenig F, Brannath W, Statistics in Medicine, 28:1321-38, 2009

Confirmatory adaptive designs with Bayesian decision tools for a targeted therapy in oncology
Brannath W, Zuber E, Branson M, Bretz F, Gallo P, Posch M, Racine-Poon A, Statistics in Medicine, 18:1445-63, 2009

Adaptive designs for confirmatory clinical trials
Bretz F, Koenig F, Brannath W, Glimm E Posch, M, Statistics in Medicine, 28:1181-217, 2009

A graphical approach to sequentially rejective multiple test procedures
Bretz, F, Maurer, W, Werner B, Posch M. Statistics in Medicine, 28:586-604, 2009

A uniform improvement of Bonferroni type tests by sequential tests [pdf]
Posch M, Futschik A, Journal of the American Statistical Association, 103:299-308, 2008

Zehetmayer S, Bauer P, Posch M, Statistics in Medicine, 27:4145-4160, 2008

A Note on Repeated p-Values for Group Sequential Designs [pdf]
M. Posch, G. Wassmer, W. Brannath, 2007, Biometrika (Advance access)

Repeated Confidence Intervals for Adaptive Group Sequential Trials
C.R. Mehta, P. Bauer, M. Posch, W. Brannath, 2007, Statistics in Medicine, 26: 5422-5433

Step by Step: mehr Effizienz mit neuen Studiendesigns
S. Zehetmayer, A. Goll, P. Bauer, M. Posch, 2007, Biospektrum, 7:754-755

Adaptive Dunnett tests for treatment selection
F. Koenig, W. Brannath, F. Bretz, M. Posch, 2007, Statistics in Medicine, (Early View)

Flexible Designs [pdf]
M. Posch, P. Bauer, W. Brannath, in Encyclopedia of Statistical Sciences, 2nd Edition, Wiley-Intersience, 2005, and to appear in Wiley Encyclopedia of Clinical Trials, Wiley-Intersience, 2008

On the efficiency of adaptive designs for flexible interim decisions in clinical trials
2006, W. Brannath, P. Bauer, M. Posch, Journal of Statistical Planning and Inference, 136: 1956-1961

Two-stage designs for experiments with a large number of hypotheses
S. Zehetmayer, P. Bauer, M. Posch, 2005, Bioinformatics, 21: 3771-3777

Testing and estimation in flexible group sequential designs with adaptive treatment selection [pdf of preprint]
M. Posch, F. Koenig, Michael Branson, Werner Brannath, Cornelia Dunger-Baldauf and Peter Bauer, 2005, Statistics in Medicine, 24: 3697-3714

On the optimum number of hypotheses to test when the number of observations is limited [preprint]
A. Futschik, M. Posch, 2005, Statistica Sinica, 15: 841-855

Conditional Rejection Probabilities of Students t-test and Design Adaptations M. Posch, N. Timmesfeld, F. König, H.-H. Müller, 2004, Biometrical Journal, 46: 389-403

Letter to the Editor: Modification of the sample size and the schedule of interim analyses in survival trials based on data inspections [pdf (with subscription)]
Peter Bauer, Martin Posch, 2004, Statistics in Medicine, 23, 1333-4.

Issues in designing flexible trials
Posch M., Bauer P. and Brannath W., 2003, Statistics in Medicine, 22, 953-969

Sequential tests for noninferiority and superiority
Brannath W., Bauer P., Maurer W. and Posch M., 2003, Biometrics, 59, 106-114

Dealing with the unexpected: modification of ongoing trials
Martin Posch, Peter Bauer,2003, Proceedings ROES Seminar St. Gallen

Book Review: Statistical Methods for Clinical Trials. M. X. Norleans
Martin Posch, 2003, Statistics in Medicine, 22, 2963-2964

Recursive Combination Tests
W. Brannath, M. Posch, and P. Bauer, 2002, JASA 97, 236-244

Flexible Two Stage Designs: An Overwiew
P. Bauer, W. Brannath, M. Posch, 2001, Methods of Information in Medicine,40,117-21

Multiple testing for identifying effective and safe treatments
Bauer P., Brannath W. and Posch M, 2001, Biometrical Journal, 43, 606-616

Interim Analysis and Sample Size Reassessment
M. Posch and P. Bauer, 2000, Biometrics, 56, 1170-1176

Adaptive two stage designs and the conditional error function
M. Posch and P. Bauer, 1999, Biometrical Journal, 41, 689-696

 

Publications in Learning and Game Theory

Attainability of Boundary Points under Reinforcement Learning [preprint]
E. Hopkins and M. Posch, 2005, Games and Economic Behavior, 53: 110-125

Win Stay, Lose Shift or Imitation - only the choice of peers counts (pdf)
M. Posch, 2001, WP 109, Department of Economics, University of Vienna

The Efficiency of Adapting Aspiration Levels
M. Posch, A. Pichler, and K. Sigmund, 1999, Proceedings of the Royal Society, Series B, 266 (1427), 1427-1436

Win Stay - Lose Shift strategies for repeated Games
M. Posch, 1999, Journal of Theoretical Biology, 198 (2), 183-195

Cycling in a Stochastic Learning Algorithm for Normal Form Games
M. Posch, 1997, Journal of Evolutionary Economics, 7, p. 193-207

The Rise of Complex Beliefs Dynamics
E. Barucci, M. Posch, 1996, IIASA Working Paper WP-96-046

Network Externalities and the Dynamics of Markets
M. Keilbach, M. Posch, 1998, IIASA Report IR-98-089