00923nam0-22002891--450 99000948622040332120221022173132.020111117d1958----km-y0itay50------bagerDE--------001yyStaat und burgerFestschrift fur Willibalt Apelt zum 80. Gerburtstagin Gemeinschaft mit Friedrich Berber ... et al.herausgegeben von Theodor Maunz, Hans Nawiasky, Johannes HeckelMunchenBerlinBeck1958241 p.24 cm340.0823gerApelt,WillibaltBerber,Friedrich Joseph<1898-1984>Heckel,JohannesMaunz,TheodorNawiasky,HansITUNINARICAUNIMARCBK990009486220403321Onoranze A 1057736FGBCFGBCStaat und burger852365UNINA03493nam 22006495 450 991029978100332120230810213506.03-658-08344-110.1007/978-3-658-08344-1(CKB)3710000000311704(EBL)1967627(OCoLC)908087507(SSID)ssj0001407837(PQKBManifestationID)11727538(PQKBTitleCode)TC0001407837(PQKBWorkID)11410057(PQKB)10581125(DE-He213)978-3-658-08344-1(MiAaPQ)EBC1967627(PPN)18315147X(EXLCZ)99371000000031170420141203d2015 u| 0engur|n|---|||||txtccrOptimized Response-Adaptive Clinical Trials Sequential Treatment Allocation Based on Markov Decision Problems /by Thomas Ondra1st ed. 2015.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Spektrum,2015.1 online resource (112 p.)BestMasters,2625-3615Description based upon print version of record.3-658-08343-3 Includes bibliographical references.Introduction to Markov Decision Problems and Examples -- Finite and Infinite Horizon Markov Decision Problems -- Solution Algorithms: Backward Induction, Value Iteration and Policy Iteration -- Designing Response Adaptive Clinical Trials with Markov Decision Problems.Two-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue two overriding objectives: Firstly, to identify the superior treatment at the end of the trial and, secondly, to keep the number of patients receiving the inferior treatment small. Such clinical trial designs are very important, especially for rare diseases. Thomas Ondra presents the main solution techniques for Markov decision problems and provides a detailed description how to obtain optimal allocation sequences. Contents Introduction to Markov Decision Problems and Examples Finite and Infinite Horizon Markov Decision Problems Solution Algorithms: Backward Induction, Value Iteration and Policy Iteration Designing Response Adaptive Clinical Trials with Markov Decision Problems Target Groups Researchers and students in the fields of mathematics and statistics Professionals in the pharmaceutical industry< The Author Thomas Ondra obtained his Master of Science degree in mathematics at University of Vienna. He is a research assistant and PhD student at the Section for Medical Statistics of Medical University of Vienna. .BestMasters,2625-3615MathematicsData processingProbabilitiesMathematical analysisComputational Mathematics and Numerical AnalysisProbability TheoryAnalysisMathematicsData processing.Probabilities.Mathematical analysis.Computational Mathematics and Numerical Analysis.Probability Theory.Analysis.530.1530.15Ondra Thomasauthttp://id.loc.gov/vocabulary/relators/aut768291BOOK9910299781003321Optimized Response-Adaptive Clinical Trials1564830UNINA