Martin Posch
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- A Uniform Improvement of Bonferroni-Type Tests by Sequential Tests (RePEc:bes:jnlasa:v:103:y:2008:m:march:p:299-308)
by Posch, Martin & Futschik, Andreas - Hunting for Significance With the False Discovery Rate (RePEc:bes:jnlasa:v:104:i:486:y:2009:p:832-840)
by Posch, Martin & Zehetmayer, Sonja & Bauer, Peter - Recursive Combination Tests (RePEc:bes:jnlasa:v:97:y:2002:m:march:p:236-244)
by Brannath W. & Posch M. & Bauer P. - Interim Analysis and Sample Size Reassessment (RePEc:bla:biomet:v:56:y:2000:i:4:p:1170-1176)
by Martin Posch & Peter Bauer - Sequential Tests for Noninferiority and Superiority (RePEc:bla:biomet:v:59:y:2003:i:1:p:106-114)
by W. Brannath & P. Bauer & W. Maurer & M. Posch - Exact Confidence Bounds Following Adaptive Group Sequential Tests (RePEc:bla:biomet:v:65:y:2009:i:2:p:539-546)
by Werner Brannath & Cyrus R. Mehta & Martin Posch - Detection of epistatic effects with logic regression and a classical linear regression model (RePEc:bpj:sagmbi:v:13:y:2014:i:1:p:83-104:n:6)
by Malina Magdalena & Ickstadt Katja & Schwender Holger & Posch Martin & Bogdan Małgorzata - Sample size reassessment for a two-stage design controlling the false discovery rate (RePEc:bpj:sagmbi:v:14:y:2015:i:5:p:429-442:n:1)
by Zehetmayer Sonja & Graf Alexandra C. & Posch Martin - Attainability of Boundary Points under Reinforcement Learning (RePEc:cla:levarc:506439000000000350)
by Ed Hopkins & Martin Posch - Attainability of Boundary Points under Reinforcement Learning (RePEc:edn:esedps:79)
by Ed Hopkins & Martin Posch - Optimal exact tests for multiple binary endpoints (RePEc:eee:csdana:v:122:y:2018:i:c:p:1-17)
by Ristl, Robin & Xi, Dong & Glimm, Ekkehard & Posch, Martin - Attainability of boundary points under reinforcement learning (RePEc:eee:gamebe:v:53:y:2005:i:1:p:110-125)
by Hopkins, Ed & Posch, Martin - Simultaneous confidence intervals that are compatible with closed testing in adaptive designs (RePEc:oup:biomet:v:100:y:2013:i:4:p:985-996)
by D. Magirr & T. Jaki & M. Posch & F. Klinglmueller - A Note on repeated p-values for group sequential designs (RePEc:oup:biomet:v:95:y:2008:i:1:p:253-256)
by Martin Posch & Gernot Wassmer & Werner Brannath - Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials (RePEc:plo:pone00:0146465)
by Dominic Magirr & Thomas Jaki & Franz Koenig & Martin Posch - Optimizing Trial Designs for Targeted Therapies (RePEc:plo:pone00:0163726)
by Thomas Ondra & Sebastian Jobjörnsson & Robert A Beckman & Carl-Fredrik Burman & Franz König & Nigel Stallard & Martin Posch - Subgroup identification in clinical trials via the predicted individual treatment effect (RePEc:plo:pone00:0205971)
by Nicolás M Ballarini & Gerd K Rosenkranz & Thomas Jaki & Franz König & Martin Posch - Win-Stay, Lose-Shift. A General Learning Rule for Repeated Normal Form Games (RePEc:sce:scecf7:53)
by Martin Posch & Werner Brannath - Cycling in a stochastic learning algorithm for normal form games (RePEc:spr:joevec:v:7:y:1997:i:2:p:193-207)
by Martin Posch - Unknown item RePEc:vie:viennp:0109 (paper)
- Win Stay, Lose Shift or Imitatation – Only the Choice of Peers Counts (RePEc:vie:viennp:vie0109)
by Martin Posch - Network Externalities and the Dynamics of Markets (RePEc:wop:iasawp:ir98089)
by M. Keilbach & M. Posch - The Efficiency of Adapting Aspiration Levels (RePEc:wop:iasawp:ir98103)
by M. Posch & A. Pichler & K. Sigmund - Win Stay---Lose Shift: An Elementary Learning Rule for Normal Form Games (RePEc:wop:safire:97-06-056e)
by Martin Posch