LEADER 03917nam 2200613 450 001 9910137170503321 005 20200520144314.0 010 $a1-119-18000-7 010 $a1-119-18001-5 010 $a1-119-17999-8 035 $a(CKB)3710000000531427 035 $a(SSID)ssj0001592676 035 $a(PQKBManifestationID)16288573 035 $a(PQKBTitleCode)TC0001592676 035 $a(PQKBWorkID)14881442 035 $a(PQKB)10663981 035 $a(PQKBManifestationID)16294758 035 $a(PQKB)23642674 035 $a(Au-PeEL)EBL4444852 035 $a(CaPaEBR)ebr11308146 035 $a(CaONFJC)MIL879775 035 $a(CaSebORM)9781119016984 035 $a(MiAaPQ)EBC4444852 035 $a(OCoLC)911618031 035 $a(EXLCZ)993710000000531427 100 $a20161213h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBrink's modern internal auditing $ea common body of knowledge /$fRobert R. Moeller 205 $aEighth edition. 210 1$aHoboken, New Jersey :$cWiley,$d2016. 210 4$dİ2016 215 $a1 online resource (835 pages) 225 1 $aWiley Corporate F&A series 300 $aIncludes index. 311 $a1-119-01698-3 320 $aIncludes bibliographical references and index. 330 $aThe complete guide to internal auditing for the modern world Brink's Modern Internal Auditing: A Common Body of Knowledge, Eighth Edition covers the fundamental information that you need to make your role as internal auditor effective, efficient, and accurate. Originally written by one of the founders of internal auditing, Vic Brink and now fully updated and revised by internal controls and IT specialist, Robert Moeller, this new edition reflects the latest industry changes and legal revisions.  This comprehensive resource has long been?and will continue to be?a critical reference for both new and seasoned internal auditors alike. Through the information provided in this inclusive text, you explore how to maximize your impact on your company by creating higher standards of professional conduct and greater protection against inefficiency, misconduct, illegal activity, and fraud. A key feature of this book is a detailed description of an internal audit Common Body of Knowledge (CBOK), key governance; risk and compliance topics that all internal auditors need to know and understand.  There are informative discussions on how to plan and perform internal audits including the information technology (IT) security and control issues that impact all enterprises today.  Modern internal auditing is presented as a standard-setting branch of business that elevates professional conduct and protects entities against fraud, misconduct, illegal activity, inefficiency, and other issues that could detract from success. Contribute to your company's productivity and responsible resource allocation through targeted auditing practices Ensure that internal control procedures are in place, are working, and are leveraged as needed to support your company's performance Access fully-updated information regarding the latest changes in the internal audit industry Rely upon a trusted reference for insight into key topics regarding the internal audit field Brink's Modern Internal Auditing: A Common Body of Knowledge, Eighth Edition presents the comprehensive collection of information that internal auditors rely on to remain effective in their role. 410 0$aWiley corporate F & A. 606 $aAuditing, Internal 615 0$aAuditing, Internal. 676 $a657/.458 686 $aBUS003000$2bisacsh 700 $aMoeller$b Robert R.$0724549 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910137170503321 996 $aBrink's modern internal auditing$92000737 997 $aUNINA 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