{"product_id":"applied-mixed-models-in-medicine-hardcover","title":"Applied Mixed Models in Medicine - Hardcover","description":"\u003cp\u003eby \u003cb\u003eHelen Brown\u003c\/b\u003e (Author), \u003cb\u003eRobin Prescott\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA fully updated edition of this key text on mixed models, focusing on applications in medical research\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eThe application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott's groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications. \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on incomplete block designs and the analysis of bilateral data.\u003c\/li\u003e \u003cli\u003eEasily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists.\u003c\/li\u003e \u003cli\u003eIncludes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output.\u003c\/li\u003e \u003cli\u003eFeatures the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC.\u003c\/li\u003e \u003cli\u003eSupported by a website featuring computer code, data sets, and further material. \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis third edition will appeal to applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA fully updated edition of this key text on mixed models, focusing on applications in medical research\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott's groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications.\u003cbr\u003e \u003cbr\u003e This third edition will appeal to applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas.\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eoverview of the theory and applications of mixed models in medical research, including the latest developments and new sections on incomplete block designs and the analysis of bilateral data.\u003c\/li\u003e \u003cli\u003eEasily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists.\u003c\/li\u003e \u003cli\u003eIncludes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output.\u003c\/li\u003e \u003cli\u003eFeatures the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC.\u003c\/li\u003e \u003c\/ul\u003e Supported by a website featuring computer code, data sets, and further material, available at www.wiley.com\/go\/brown\/applied_mixed\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eHelen Brown\u003c\/b\u003e, Principal Statistician, NHS Scotland, Edinburgh, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRobin Prescott\u003c\/b\u003e, Medical Statistics Unit, University of Edinburgh Medical School, UK.\u003c\/p\u003e\n        \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 544\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.3 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 09, 2015\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47447759421618,"sku":"9781118778258","price":164.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/3a60992306f4f255af8f7046179956ec.webp?v=1778745273","url":"https:\/\/box.dadyminds.org\/products\/applied-mixed-models-in-medicine-hardcover","provider":"DADYMINDS BOX","version":"1.0","type":"link"}