LEADER 01335nam 2200373 450 001 9910130642303321 005 20160621165014.0 010 $a88-8107-244-0 035 $a(CKB)3400000000020376 035 $a(ItFiC)it 09706496 035 $a(EXLCZ)993400000000020376 100 $a20091204d2007 uy 0 101 0 $aita 200 00$aNon son tempi per fare figli$b[electronic resource] $eorientamenti e comportamenti riproduttivi nella bassa fecondita? italiana /$fa cura di Fulvia D'Aloisio ; postfazione di Amalia Signorelli 205 $a1. ed. 210 $aMilano $cGuerini scientifica$d2007 215 $a199 p. $cill 225 0$aBiblioteca contemporanea.$pI saperi 300 $aCollected essays. 320 $aIncludes bibliographical references. 517 $aNon son tempi per fare figli : orientamenti e comportamenti riproduttivi nella bassa fecondità italiana 517 $aNon son tempi per fare figli 606 $aFertility, Human$zItaly$vCase studies 606 $aFertility$xSocial aspects$zItaly 615 0$aFertility, Human 615 0$aFertility$xSocial aspects 676 $a304 701 $aD'Aloisio$b Fulvia$0151277 801 0$bItFiC 801 1$bItFiC 906 $aBOOK 912 $a9910130642303321 996 $aNon son tempi per fare figli$92435984 997 $aUNINA LEADER 01173nam0 22002891i 450 001 UON00346924 005 20231205104324.143 100 $a20091123f |0itac50 ba 101 $arum 102 $aRO 105 $a|||| 1|||| 200 1 $aManual de limba romana Clasa a 2-a$eGimnazii si licee de baieti si de fete, scoli normale, seminarii, etc. / Const. 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Nedioglu 205 $aEditia a 3-a 210 $aBucuresti$cEditura Cartea romaneasca, [s.a.] 215 $a375 p.$ctav.$d20 cm. 606 $aLingua romena$xGrammatica$3UONC074312$2FI 620 $aRO$dBucure?ti$3UONL000071 676 $a459$cLingua romena$v21 700 1$aBOTEZ$bConstantin$3UONV190018$0703112 701 1$aNEDIOGLU$bGheorghe$3UONV193832$0703113 712 $aCartea Româneasc?$3UONV275426$4650 801 $aIT$bSOL$c20250711$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00346924 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI BUONINCONTRO C 0070 $eSI EO 44831 5 0070 $sDeteriorato 996 $aManual de limba romana Clasa a 2-a$91358989 997 $aUNIOR LEADER 05754nam 22007334a 450 001 9911020144903321 005 20200520144314.0 010 $a9786610269303 010 $a9781280269301 010 $a1280269308 010 $a9780470092590 010 $a0470092599 010 $a9780470092606 010 $a0470092602 035 $a(CKB)111087027142156 035 $a(EBL)164885 035 $a(OCoLC)54357012 035 $a(SSID)ssj0000109295 035 $a(PQKBManifestationID)11138436 035 $a(PQKBTitleCode)TC0000109295 035 $a(PQKBWorkID)10045696 035 $a(PQKB)11616196 035 $a(MiAaPQ)EBC164885 035 $a(Perlego)2751696 035 $a(EXLCZ)99111087027142156 100 $a20030821d2004 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian approaches to clinical trials and health care evaluation /$fDavid J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles 210 $aChichester ;$aHoboken, NJ $cWiley$dc2004 215 $a1 online resource (408 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 08$a9780471499756 311 08$a0471499757 320 $aIncludes bibliographical references (p. 357-380) and index. 327 $aBayesian Approaches to Clinical Trials and Health-Care Evaluation; Contents; Preface; List of examples; 1 Introduction; 1.1 What are Bayesian methods?; 1.2 What do we mean by 'health-care evaluation'?; 1.3 A Bayesian approach to evaluation; 1.4 The aim of this book and the intended audience; 1.5 Structure of the book; 2 Basic Concepts from Traditional Statistical Analysis; 2.1 Probability; 2.1.1 What is probability?; 2.1.2 Odds and log-odds; 2.1.3 Bayes theorem for simple events; 2.2 Random variables, parameters and likelihood; 2.2.1 Random variables and their distributions 327 $a2.2.2 Expectation, variance, covariance and correlation 2.2.3 Parametric distributions and conditional independence; 2.2.4 Likelihoods; 2.3 The normal distribution; 2.4 Normal likelihoods; 2.4.1 Normal approximations for binary data; 2.4.2 Normal likelihoods for survival data; 2.4.3 Normal likelihoods for count responses; 2.4.4 Normal likelihoods for continuous responses; 2.5 Classical inference; 2.6 A catalogue of useful distributions*; 2.6.1 Binomial and Bernoulli; 2.6.2 Poisson; 2.6.3 Beta; 2.6.4 Uniform; 2.6.5 Gamma; 2.6.6 Root-inverse-gamma; 2.6.7 Half-normal; 2.6.8 Log-normal 327 $a2.6.9 Student's 2.6.10 Bivariate normal; 2.7 Key points; Exercises; 3 An Overview of the Bayesian Approach; 3.1 Subjectivity and context; 3.2 Bayes theorem for two hypotheses; 3.3 Comparing simple hypotheses: likelihood ratios and Bayes factors; 3.4 Exchangeability and parametric modelling*; 3.5 Bayes theorem for general quantities; 3.6 Bayesian analysis with binary data; 3.6.1 Binary data with a discrete prior distribution; 3.6.2 Conjugate analysis for binary data; 3.7 Bayesian analysis with normal distributions; 3.8 Point estimation, interval estimation and interval hypotheses 327 $a3.9 The prior distribution 3.10 How to use Bayes theorem to interpret trial results; 3.11 The 'credibility' of significant trial results*; 3.12 Sequential use of Bayes theorem*; 3.13 Predictions; 3.13.1 Predictions in the Bayesian framework; 3.13.2 Predictions for binary data*; 3.13.3 Predictions for normal data; 3.14 Decision-making; 3.15 Design; 3.16 Use of historical data; 3.17 Multiplicity, exchangeability and hierarchical models; 3.18 Dealing with nuisance parameters*; 3.18.1 Alternative methods for eliminating nuisance parameters*; 3.18.2 Profile likelihood in a hierarchical model* 327 $a3.19 Computational issues 3.19.1 Monte Carlo methods; 3.19.2 Markov chain Monte Carlo methods; 3.19.3 WinBUGS; 3.20 Schools of Bayesians; 3.21 A Bayesian checklist; 3.22 Further reading; 3.23 Key points; Exercises; 4 Comparison of Alternative Approaches to Inference; 4.1 A structure for alternative approaches; 4.2 Conventional statistical methods used in health-care evaluation; 4.3 The likelihood principle, sequential analysis and types of error; 4.3.1 The likelihood principle; 4.3.2 Sequential analysis; 4.3.3 Type I and Type II error; 4.4 P-values and Bayes factors* 327 $a4.4.1 Criticism of P-values 330 $aREAD ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council's biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author's comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notab 410 0$aStatistics in practice. 606 $aBayesian statistical decision theory 606 $aMedicine$xResearch$xStatistical methods 606 $aClinical trials$xStatistical methods 615 0$aBayesian statistical decision theory. 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aClinical trials$xStatistical methods. 676 $a519.5/42/02461 700 $aSpiegelhalter$b D. J$065673 701 $aAbrams$b K. R$g(Keith R.)$01837968 701 $aMyles$b Jonathan P$01837969 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020144903321 996 $aBayesian approaches to clinical trials and health care evaluation$94416842 997 $aUNINA