LEADER 03685oam 2200637I 450 001 9910458802003321 005 20200520144314.0 010 $a0-429-15242-6 010 $a1-282-90299-7 010 $a9786612902994 010 $a1-4398-2551-3 024 7 $a10.1201/EBK1439825488 035 $a(CKB)2670000000055657 035 $a(EBL)601268 035 $a(OCoLC)668229601 035 $a(SSID)ssj0000412544 035 $a(PQKBManifestationID)11281111 035 $a(PQKBTitleCode)TC0000412544 035 $a(PQKBWorkID)10369216 035 $a(PQKB)11405906 035 $a(MiAaPQ)EBC601268 035 $a(Au-PeEL)EBL601268 035 $a(CaPaEBR)ebr10430730 035 $a(CaONFJC)MIL290299 035 $a(OCoLC)757918270 035 $a(EXLCZ)992670000000055657 100 $a20180331d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBayesian adaptive methods for clinical trials /$fScott M. Berry. [et al.] 210 1$aBoca Raton :$cChapman & Hall/CRC,$d2011. 215 $a1 online resource (316 p.) 225 1 $aChapman & Hall/CRC biostatistics series ;$v38 300 $aDescription based upon print version of record. 311 $a1-4398-2548-3 320 $aIncludes bibliographical references and indexes. 327 $aFront cover; Contents; Foreword; Preface; CHAPTER 1: Statistical approaches for clinical trials; CHAPTER 2: Basics of Bayesian inference; CHAPTER 3: Phase I studies; CHAPTER 4: Phase II studies; CHAPTER 5: Phase III studies; CHAPTER 6: Special topics; References; Back cover 330 $aAs has been well-discussed, the explosion of interest in Bayesian methods over the last 10 to 20 years has been the result of the convergence of modern computing power and eficient Markov chain Monte Carlo (MCMC) algo- rithms for sampling from and summarizing posterior distributions. Prac- titioners trained in traditional, frequentist statistical methods appear to have been drawn to Bayesian approaches for three reasons. One is that Bayesian approaches implemented with the majority of their informative content coming from the current data, and not any external prior informa- tion, typically have good frequentist properties (e.g., low mean squared er- ror in repeated use). Second, these methods as now readily implemented in WinBUGS and other MCMC-driven software packages now over the simplest approach to hierarchical (random erects) modeling, as routinely needed in longitudinal, frailty, spatial, time series, and a wide variety of other settings featuring interdependent data. Third, practitioners are attracted by the greater flexibility and adaptivity of the Bayesian approach, which permits stopping for efacacy, toxicity, and futility, as well as facilitates a straightforward solution to a great many other specialized problems such as dose-nding, adaptive randomization, equivalence testing, and others we shall describe. This book presents the Bayesian adaptive approach to the design and analysis of clinical trials--Provided by publisher. 410 0$aChapman & Hall/CRC biostatistics series ;$v38. 606 $aClinical trials$xStatistical methods 606 $aBayesian statistical decision theory 608 $aElectronic books. 615 0$aClinical trials$xStatistical methods. 615 0$aBayesian statistical decision theory. 676 $a615.5072/4 701 $aBerry$b Scott M$0934547 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458802003321 996 $aBayesian adaptive methods for clinical trials$92104455 997 $aUNINA LEADER 03021nam 2200721Ia 450 001 9910465134803321 005 20200520144314.0 010 $a1-280-52944-X 010 $a0-19-509754-8 010 $a1-4294-1576-2 010 $a0-19-802581-5 035 $a(CKB)2560000000301214 035 $a(EBL)271442 035 $a(OCoLC)476007236 035 $a(SSID)ssj0000152750 035 $a(PQKBManifestationID)11160838 035 $a(PQKBTitleCode)TC0000152750 035 $a(PQKBWorkID)10339846 035 $a(PQKB)10506770 035 $a(SSID)ssj0000359938 035 $a(PQKBManifestationID)12111088 035 $a(PQKBTitleCode)TC0000359938 035 $a(PQKBWorkID)10318854 035 $a(PQKB)11115297 035 $a(StDuBDS)EDZ0000075978 035 $a(MiAaPQ)EBC271442 035 $a(Au-PeEL)EBL271442 035 $a(CaPaEBR)ebr10142291 035 $a(CaONFJC)MIL52944 035 $a(EXLCZ)992560000000301214 100 $a19941103d1995 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFaces of poverty$b[electronic resource] $eportraits of women and children on welfare /$fJill Duerr Berrick 210 $aNew York $cOxford University Press$d1995 215 $a1 online resource (225 p.) 300 $aIncludes index. 311 $a0-19-511375-6 311 $a0-19-989354-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction: Living Poverty -- 1. What Is Welfare? -- 2. Ana: Caught in Circumstances Beyond Her Control -- 3. Sandy: Working but Poor -- 4. Rebecca: Motivation and a Fighting Spirit -- 5. Darlene: Complex People, Complex Problems -- 6. Cora: A Portrait of Dependency -- 7. Finding a Better Way. 330 $aMost Americans are insulated from the poor; it's hard to imagine the challenges of poverty, the daily fears of crime and victimization, the frustration of not being able to provide for a child. Instead, we are often exposed to the rhetoric and hyperbole about the excesses of the American welfare system. These messages color our perception of the welfare problem in the United States and they close the American mind to a full understanding of the complexity of family poverty. But who are these poor families? What do we know about how they arrived in such desperate straits? Is poverty their fate 606 $aPoor women$zUnited States$vCase studies 606 $aPoor children$zUnited States$vCase studies 606 $aWelfare recipients$zUnited States$vCase studies 606 $aPublic welfare$zUnited States 608 $aElectronic books. 615 0$aPoor women 615 0$aPoor children 615 0$aWelfare recipients 615 0$aPublic welfare 676 $a362.5/0973 700 $aBerrick$b Jill Duerr$0884461 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465134803321 996 $aFaces of poverty$91975207 997 $aUNINA