LEADER 04272nam 2200769 a 450 001 9910971976403321 005 20250214043421.0 010 $z9781462554966$b(paperback) 010 $a9786613340405 010 $a9781462503193 010 $a1462503195 010 $a9781283340403 010 $a1283340402 010 $a9781462502349$b(electronic book) 010 $a1462502342 035 $a(CKB)2550000000065211 035 $a(EBL)800608 035 $a(OCoLC)766418045 035 $a(SSID)ssj0000540277 035 $a(PQKBManifestationID)12232781 035 $a(PQKBTitleCode)TC0000540277 035 $a(PQKBWorkID)10585697 035 $a(PQKB)10386753 035 $a(MiAaPQ)EBC800608 035 $a(Au-PeEL)EBL800608 035 $a(CaPaEBR)ebr10512313 035 $a(CaONFJC)MIL334040 035 $a(EXLCZ)992550000000065211 100 $a20110915d2011 fy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 181 $2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPracticing harm reduction psychotherapy $ean alternative approach to addictions /$fPatt Denning, Jeannie Little 205 $aSecond edition. 210 $aNew York, N.Y. $cGuilford Press$d2011 215 $a1 online resource (385 pages) ;$cillustrations 300 $aDescription based upon print version of record. 311 1 $a9781462502332 311 1 $a1462502334 320 $aIncludes bibliographical references and indexes. 327 $aCover; Front Matter; Contents; Chapter 1--Why Practice Harm Reduction Psychotherapy?; Chapter 2--What Is Harm Reduction Psychotherapy and Whom Is It For?; Chapter 3--Assessment as Treatment; Chapter 4--Developing a Treatment Plan; Chapter 5--The Fundamentals of Harm Reduction Psychotherapy; Chapter 6--The Psychodynamic Matrix of Harm Reduction Psychotherapy; Chapter 7--Motivational and Cognitive-Behavioral Contributions to Harm Reduction Psychotherapy; Chapter 8--The Role of Biology in Harm Reduction Psychotherapy; Chapter 9--Harm Reduction Psychotherapy in Community-Based Settings 327 $aChapter 10--Harm Reduction Psychotherapy in GroupsChapter 11--The Power of Connection; Chapter 12--What Does It Take to Practice Harm Reduction Psychotherapy?; Appendix A--Differential Diagnosis; Appendix B--Harm Reduction Supervision; Appendix C--Additional Resources; Appendix D--Recommended Readings; References; Author Index; Subject Index 330 $a"Subject areas/key words: abstinence, addictions, addictive behaviors, alcoholism, counseling, dependence, drug abuse, dual diagnosis, harm reduction, interventions, psychotherapy, recovery, substance use disorders, treatments Brief Summary: This acclaimed clinical guide has helped thousands of clinicians put the proven principles of harm reduction into practice with therapy clients who have substance use problems. Written by pioneers in the field, the book shows how to do effective therapeutic work with people still using alcohol or other drugs. It provides clear guidelines for conducting comprehensive assessments, making collaborative treatment decisions, and implementing interventions that combine motivational, cognitive-behavioral, and psychodynamic strategies. The focus is reducing drug-related harm while also addressing co-occurring psychological and emotional difficulties. Detailed clinical illustrations are featured throughout"--$cProvided by publisher. 606 $aSubstance abuse$xComplications$xPrevention 606 $aPsychotherapy 606 $aSubstance abuse$xTreatment 606 $aSubstance abuse$xSocial aspects 606 $aHarm reduction 615 0$aSubstance abuse$xComplications$xPrevention. 615 0$aPsychotherapy. 615 0$aSubstance abuse$xTreatment. 615 0$aSubstance abuse$xSocial aspects. 615 0$aHarm reduction. 676 $a616.89/14 686 $aPSY038000$aMED105000$aSOC025000$aPSY028000$2bisacsh 700 $aDenning$b Patt$f1950-$01138535 702 $aLittle$b Jeannie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910971976403321 996 $aPracticing harm reduction psychotherapy$94323894 997 $aUNINA LEADER 04906nam 22007575 450 001 9910254097103321 005 20250329111055.0 010 $a9783319397566 010 $a3319397567 024 7 $a10.1007/978-3-319-39756-6 035 $a(CKB)3710000000748015 035 $a(DE-He213)978-3-319-39756-6 035 $a(MiAaPQ)EBC6314621 035 $a(MiAaPQ)EBC5579125 035 $a(Au-PeEL)EBL5579125 035 $a(OCoLC)953865751 035 $a(PPN)194517128 035 $a(EXLCZ)993710000000748015 100 $a20160630d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertainty $eThe Soul of Modeling, Probability & Statistics /$fby William Briggs 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIX, 258 p. 23 illus.) 311 0 $a9783319397559 311 0 $a3319397559 320 $aIncludes bibliographical references and index. 327 $aTruth, Argument, Realism -- Logic -- Induction and Intellection -- What Probability Is -- What Probability Is Not -- Chance and Randomness -- Causality -- Probability Models -- Statistical and Physical Models -- Modelling Goals, Strategies, and Mistakes. 330 $aThis book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance". The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields ? probability, physics, biology, the ?soft? sciences, computer science ? because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling. Presents a complete argument showing why probability should be treated as a part of logic Broadens understanding beyond frequentist and Bayesian methods, proposing a Third Way of modeling Proposes that p-values should die, and along with them, hypothesis testing William M. Briggs, PhD, is Adjunct Professor of Statistics at Cornell University. Having earned both his PhD in Statistics and MSc in Atmospheric Physics from Cornell University, he served as the editor of the American Meteorological Society journal and has published over 60 papers. He studies the philosophy of science, the use and misuses of uncertainty - from truth to modeling. Early in life, he began his career as a cryptologist for the Air Force, then slipped into weather and climate forecasting, and later matured into an epistemologist. Currently, he has a popular, long-running blog on the subjects written about here, with about 70,000 - 90,000 monthly readers. 606 $aStatistics 606 $aProbabilities 606 $aMathematics$xPhilosophy 606 $aStatistics 606 $aKnowledge, Theory of 606 $aLogic 606 $aStatistical Theory and Methods 606 $aProbability Theory 606 $aPhilosophy of Mathematics 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aEpistemology 606 $aLogic 615 0$aStatistics. 615 0$aProbabilities. 615 0$aMathematics$xPhilosophy. 615 0$aStatistics. 615 0$aKnowledge, Theory of. 615 0$aLogic. 615 14$aStatistical Theory and Methods. 615 24$aProbability Theory. 615 24$aPhilosophy of Mathematics. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aEpistemology. 615 24$aLogic. 676 $a511.31 700 $aBriggs$b William$4aut$4http://id.loc.gov/vocabulary/relators/aut$0104342 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254097103321 996 $aUncertainty$91523712 997 $aUNINA