LEADER 01464nam--2200385---450- 001 990005935280203316 005 20140310101732.0 010 $a978-88-916-0080-6 035 $a000593528 035 $aUSA01000593528 035 $a(ALEPH)000593528USA01 035 $a000593528 100 $a20140310d2013----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> lavoro alle dipendenze delle pubbliche amministrazioni$ela disciplina del pubblico impiego in seguito all'approvazione del decreto di attuazione della riforma Brunetta e ai successivi provvedimenti di attuazione. Aggiornato alla L.30 ottobre 2013, n. 125 do conversione del D.L. 101/2013 ( misure urgenti in tema di lavoro nella pubblica amministrazione)...$fLilla Laperuta$g4. ed. 210 $aSantarcangelo di Romagna$cMaggioli$d2013 215 $a376 p.$d21 cm 225 2 $aModuli$v2.3 410 0$12001$aModuli$v, 2.3 454 1$12001 461 1$1001-------$12001 606 0 $aImpiego pubblico$xLegislazione$2BNCF 676 $a342.45068 700 1$aLAPERUTA,$bLilla$0416256 801 0$aIT$bsalbc$gISBD 912 $a990005935280203316 951 $aXXV.2.E. 110$b79271 G.$cXXV.2.E.$d00353095 959 $aBK 969 $aGIU 979 $aFIORELLA$b90$c20140310$lUSA01$h1012 979 $aFIORELLA$b90$c20140310$lUSA01$h1017 996 $aLavoro alle dipendenze delle pubbliche amministrazioni$91071424 997 $aUNISA LEADER 03493nam 22006495 450 001 9910299781003321 005 20230810213506.0 010 $a3-658-08344-1 024 7 $a10.1007/978-3-658-08344-1 035 $a(CKB)3710000000311704 035 $a(EBL)1967627 035 $a(OCoLC)908087507 035 $a(SSID)ssj0001407837 035 $a(PQKBManifestationID)11727538 035 $a(PQKBTitleCode)TC0001407837 035 $a(PQKBWorkID)11410057 035 $a(PQKB)10581125 035 $a(DE-He213)978-3-658-08344-1 035 $a(MiAaPQ)EBC1967627 035 $a(PPN)18315147X 035 $a(EXLCZ)993710000000311704 100 $a20141203d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOptimized Response-Adaptive Clinical Trials $eSequential Treatment Allocation Based on Markov Decision Problems /$fby Thomas Ondra 205 $a1st ed. 2015. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2015. 215 $a1 online resource (112 p.) 225 1 $aBestMasters,$x2625-3615 300 $aDescription based upon print version of record. 311 $a3-658-08343-3 320 $aIncludes bibliographical references. 327 $aIntroduction 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. 330 $aTwo-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue two overriding objectives: Firstly, to identify the superior treatment at the end of the trial and, secondly, to keep the number of patients receiving the inferior treatment small. Such clinical trial designs are very important, especially for rare diseases. Thomas Ondra presents the main solution techniques for Markov decision problems and provides a detailed description how to obtain optimal allocation sequences. Contents Introduction to Markov Decision Problems and Examples Finite and Infinite Horizon Markov Decision Problems Solution Algorithms: Backward Induction, Value Iteration and Policy Iteration Designing Response Adaptive Clinical Trials with Markov Decision Problems Target Groups Researchers and students in the fields of mathematics and statistics Professionals in the pharmaceutical industry< The Author Thomas Ondra obtained his Master of Science degree in mathematics at University of Vienna. He is a research assistant and PhD student at the Section for Medical Statistics of Medical University of Vienna.  . 410 0$aBestMasters,$x2625-3615 606 $aMathematics$xData processing 606 $aProbabilities 606 $aMathematical analysis 606 $aComputational Mathematics and Numerical Analysis 606 $aProbability Theory 606 $aAnalysis 615 0$aMathematics$xData processing. 615 0$aProbabilities. 615 0$aMathematical analysis. 615 14$aComputational Mathematics and Numerical Analysis. 615 24$aProbability Theory. 615 24$aAnalysis. 676 $a530.1 676 $a530.15 700 $aOndra$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768291 906 $aBOOK 912 $a9910299781003321 996 $aOptimized Response-Adaptive Clinical Trials$91564830 997 $aUNINA