| 000 | 04507cam a2200565Ii 4500 | ||
|---|---|---|---|
| 001 | 9781315100388 | ||
| 003 | FlBoTFG | ||
| 005 | 20220509193005.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 190628s2019 flu ob 001 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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| 020 |
_a9781315100388 _q(electronic bk.) |
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| 020 |
_a131510038X _q(electronic bk.) |
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| 020 |
_a9781351585941 _q(electronic bk. : PDF) |
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| 020 |
_a1351585940 _q(electronic bk. : PDF) |
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| 020 |
_a9781351585927 _q(electronic bk. : Mobipocket) |
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| 020 |
_a1351585924 _q(electronic bk. : Mobipocket) |
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| 020 |
_a9781351585934 _q(electronic bk. : EPUB) |
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| 020 |
_a1351585932 _q(electronic bk. : EPUB) |
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| 020 | _z9781138295872 | ||
| 035 | _a(OCoLC)1105988368 | ||
| 035 | _a(OCoLC-P)1105988368 | ||
| 050 | 4 |
_aRM301.25 _b.Y36 2019eb |
|
| 072 | 7 |
_aMAT _x029000 _2bisacsh |
|
| 072 | 7 |
_aMED _x072000 _2bisacsh |
|
| 072 | 7 |
_aMED _x090000 _2bisacsh |
|
| 072 | 7 |
_aMBGR _2bicssc |
|
| 082 | 0 | 4 |
_a615.1/9 _223 |
| 100 | 1 |
_aYang, Harry, _eauthor. |
|
| 245 | 1 | 0 |
_aBayesian analysis with R for drug development : _bconcepts, algorithms, and case studies / _cHarry Yang and Steven J. Novick. |
| 264 | 1 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2019. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 500 | _a"A Chapman & Hall book." | ||
| 520 | _aDrug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development. Written specifically for pharmaceutical practitioners, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems. Features Provides a single source of information on Bayesian statistics for drug development Covers a wide spectrum of pre-clinical, clinical, and CMC topics Demonstrates proper Bayesian applications using real-life examples Includes easy-to-follow R code with Bayesian Markov Chain Monte Carlo performed in both JAGS and Stan Bayesian software platforms Offers sufficient background for each problem and detailed description of solutions suitable for practitioners with limited Bayesian knowledge Harry Yang, Ph.D., is Senior Director and Head of Statistical Sciences at AstraZeneca. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published 6 statistical books, 15 book chapters, and over 90 peer-reviewed papers on diverse scientific and statistical subjects, including 15 joint statistical works with Dr. Novick. He is a frequent invited speaker at national and international conferences. He also developed statistical courses and conducted training at the FDA and USP as well as Peking University. Steven Novick, Ph.D., is Director of Statistical Sciences at AstraZeneca. He has extensively contributed statistical methods to the biopharmaceutical literature. Novick is a skilled Bayesian computer programmer and is frequently invited to speak at conferences, having developed and taught courses in several areas, including drug-combination analysis and Bayesian methods in clinical areas. Novick served on IPAC-RS and has chaired several national statistical conferences. | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aDrug development. | |
| 650 | 0 | _aBiopharmaceutics. | |
| 650 | 0 | _aClinical trials. | |
| 650 | 0 | _aBayesian statistical decision theory. | |
| 650 | 0 | _aR (Computer program language) | |
| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General _2bisacsh |
|
| 650 | 7 |
_aMEDICAL / Pharmacy _2bisacsh |
|
| 650 | 7 |
_aMEDICAL / Biostatistics _2bisacsh |
|
| 700 | 1 |
_aNovick, Steven, _eauthor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315100388 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c127811 _d127811 |
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