MARC Record from marc_columbia

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001 15268341
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008 201212s2020 flua o 000 0 eng d
035 $a(OCoLC)on1226566683
035 $a(NNC)15268341
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020 $a9781000329988$q(electronic bk.)
020 $a1000329984$q(electronic bk.)
020 $a9780429329449$q(electronic bk.)
020 $a042932944X$q(electronic bk.)
020 $a9781000330069$q(electronic bk. : EPUB)
020 $a1000330060$q(electronic bk. : EPUB)
020 $a9781000330021$q(electronic bk. : Mobipocket)
020 $a1000330028$q(electronic bk. : Mobipocket)
020 $z9780367350505$q(hardback)
020 $z0367350505$q(hardback)
024 7 $a10.1201/9780429329449$2doi
035 $a(OCoLC)1226566683$z(OCoLC)1228888728
037 $a9780429329449$bTaylor & Francis
050 4 $aQA279.5$b.B43 2020
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072 7 $aMED$x062000$2bisacsh
072 7 $aMBNS$2bicssc
082 04 $a519.542$223
049 $aZCUA
100 1 $aBhattacharjee, Atanu,$eauthor.
245 10 $aBayesian approaches in oncology using R and OpenBUGS /$cAtanu Bhattacharjee.
264 1 $aBoca Raton :$bChapman & Hall/CRC,$c2020.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
520 $aBayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters. Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means using dedicated statistical software. There are several software packages, all with their specific objective. Finally, all packages are free to use, are versatile with problem-solving, and are interactive with R and OpenBUGS. This book continues to cover a range of techniques related to oncology that grow in statistical analysis. It intended to make a single source of information on Bayesian statistical methodology for oncology research to cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes necessary to reproduce the analyses. The idea is to overall extending the Bayesian approach in oncology practice. It presents four sections to the statistical application framework: Bayesian in Clinical Research and Sample Size Calcuation Bayesian in Time-to-Event Data Analysis Bayesian in Longitudinal Data Analysis Bayesian in Diagnostics Test Statistics This book is intended as a first course in bayesian biostatistics for oncology students. An oncologist can find useful guidance for implementing bayesian in research work. It serves as a practical guide and an excellent resource for learning the theory and practice of bayesian methods for the applied statistician, biostatistician, and data scientist.
545 0 $aAtanu Bhattacharjee is an Assistant Professor at the Section of Biostatistics, Centre for Cancer Epidemiology, Tata Memorial Centre, India. He previously taught Biostatistics at the Malabar Cancer Centre, Kerala, India. He completed his PhD at Gauhati University, Assam, on Bayesian Statistical Inference. He is an elected member of the International Biometric Society (Indian Region). He served as Associate Editor of BMC Research Methodology. He has published over 200 research articles in various peer-reviewed journals.
650 0 $aBayesian statistical decision theory.
650 0 $aCancer$xResearch$xStatistical methods.
650 0 $aOncology$xResearch$xStatistical methods.
650 0 $aR (Computer program language)$xStatistical methods.
650 6 $aThéorie de la décision bayésienne.
650 6 $aCancer$xRecherche$xMéthodes statistiques.
650 6 $aCancérologie$xRecherche$xMéthodes statistiques.
650 6 $aR (Langage de programmation)$xMéthodes statistiques.
650 7 $aMATHEMATICS / Probability & Statistics / General$2bisacsh
650 7 $aMEDICAL / Biostatistics$2bisacsh
650 7 $aMEDICAL / Oncology$2bisacsh
650 7 $aBayesian statistical decision theory.$2fast$0(OCoLC)fst00829019
650 7 $aCancer$xResearch$xStatistical methods.$2fast$0(OCoLC)fst00845511
655 4 $aElectronic books.
776 08 $iPrint version:$aBhattacharjee, Atanu.$tBayesian approaches in oncology using R and OpenBUGS.$dBoca Raton : CRC Press, 2021$z9780367350505$w(OCoLC)1202973063
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15268341$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS