{"product_id":"design-and-analysis-of-cross-over-trials-9781439861424","title":"Design and Analysis of Cross-Over Trials","description":"\u003cp\u003e\u003cstrong\u003eDesign and Analysis of Cross-Over Trials\u003c\/strong\u003e is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture.\u003c\/p\u003e\u003cp\u003eThe first edition of this book was the first to be wholly devoted to the subject. The second edition was revised to mirror growth and development in areas where the design remained in widespread use and new areas where it had grown in importance. This new \u003cb\u003eThird Edition\u003c\/b\u003e: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eContains seven new chapters written in the form of short case studies that address re-estimating sample size when testing for average bioequivalence, fitting a nonlinear dose response function, estimating a dose to take forward from phase two to phase three, establishing proof of concept, and recalculating the sample size using conditional power\u003c\/li\u003e \u003cli\u003eEmploys the R package \u003ci\u003eCrossover\u003c\/i\u003e, specially\u003ci\u003e \u003c\/i\u003ecreated to accompany the book and provide a graphical user interface for locating designs in a large catalog and for searching for new designs\u003c\/li\u003e \u003cli\u003eIncludes updates regarding the use of period baselines and the analysis of data from very small trials\u003c\/li\u003e \u003cli\u003eReflects the availability of new procedures in SAS, particularly proc glimmix \u003c\/li\u003e \u003cli\u003ePresents the SAS procedure proc mcmc as an alternative to WinBUGS for Bayesian analysis\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eComplete with real data and downloadable SAS code, \u003cb\u003eDesign and Analysis of Cross-Over Trials, Third Edition \u003c\/b\u003eprovides a practical understanding of the latest methods along with the necessary tools for implementation.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Byron Jones,Michael G. Kenward\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/13\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 438\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.60lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.30h x 6.10w x 1.00d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781439861424\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eByron Jones\u003c\/strong\u003e is a senior biometrical fellow and executive director in the Statistical Methodology Group at Novartis Pharmaceuticals. Previously he was a senior statistical consultant\/senior director at Pfizer and a senior director and UK head of the Research Statistics Unit at GlaxoSmithKline. In addition to 14 years of experience in the pharmaceutical industry, he has 25 years of experience in academia, ultimately holding the position of professor of medical statistics at De Montfort University. Currently he is an honorary professor at the London School of Hygiene and Tropical Medicine, visiting professor at University College London and at the University of Leicester, and a visiting professorial fellow at Queen Mary, University of London. \u003c\/p\u003e\u003cp\u003eMichael G. Kenward is GlaxoSmithKline professor of biostatistics at the London School of Hygiene and Tropical Medicine. Previously he held positions at the Universities of Kent and Reading in the UK, and at research institutes in the UK, Iceland, and Finland. He has acted as a pharmaceutical industry consultant in biostatistics for more than 25 years. His research interests include the analysis of longitudinal data and cross-over trials, and modeling in biostatistics, with a particular interest in the problem of missing data. He has co-authored three textbooks and is well known for his 1994 Royal Statistical Society read paper on missing data.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":45056841252979,"sku":"9781439861424","price":236.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_40f88036-3545-49c9-a916-444b6b2152ce.jpg?v=1780164109","url":"https:\/\/bookstorenmore.com\/en-de\/products\/design-and-analysis-of-cross-over-trials-9781439861424","provider":"Bookstore N More","version":"1.0","type":"link"}