{"product_id":"multiple-imputation-and-its-application-hardcover","title":"Multiple Imputation and Its Application - Hardcover","description":"\u003cp\u003eby \u003cb\u003eJames R. Carpenter\u003c\/b\u003e (Author), \u003cb\u003eJonathan W. Bartlett\u003c\/b\u003e (Author), \u003cb\u003eTim P. Morris\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMultiple Imputation and its Application\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe most up-to-date edition of a bestselling guide to analyzing partially observed data\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn this comprehensively revised Second Edition of \u003ci\u003eMultiple Imputation and its Application, \u003c\/i\u003e a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. \u003c\/p\u003e\u003cp\u003eWith an accessible and carefully structured presentation aimed at quantitative researchers, \u003ci\u003eMultiple Imputation and its Application\u003c\/i\u003e is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets\u003c\/li\u003e \u003cli\u003eCareful discussion of key concepts\u003c\/li\u003e \u003cli\u003eA range of examples illustrating the key ideas\u003c\/li\u003e \u003cli\u003ePractical advice on using multiple imputation\u003c\/li\u003e \u003cli\u003eExercises and examples designed for use in the classroom and\/or private study\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWritten for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, \u003ci\u003eMultiple Imputation and its Application\u003c\/i\u003e will also earn a place in the libraries of graduate students undertaking quantitative analyses.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMultiple Imputation and its Application\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSecond Edition \u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe most up-to-date edition of a bestselling guide to analyzing partially observed data\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn this comprehensively revised Second Edition of \u003ci\u003eMultiple Imputation and its Application, \u003c\/i\u003e a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. \u003c\/p\u003e\u003cp\u003eWith an accessible and carefully structured presentation aimed at quantitative researchers, \u003ci\u003eMultiple Imputation and its Application\u003c\/i\u003e is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets\u003c\/li\u003e \u003cli\u003eCareful discussion of key concepts\u003c\/li\u003e \u003cli\u003eA range of examples illustrating the key ideas\u003c\/li\u003e \u003cli\u003ePractical advice on using multiple imputation\u003c\/li\u003e \u003cli\u003eExercises and examples designed for use in the classroom and\/or private study\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWritten for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, \u003ci\u003eMultiple Imputation and its Application\u003c\/i\u003e will also earn a place in the libraries of graduate students undertaking quantitative analyses.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJAMES R. CARPENTER\u003c\/b\u003e is Professor of Medical Statistics at the London School of Hygiene \u0026amp; Tropical Medicine and Programme Leader in Methodology at the MRC Clinical Trials Unit at UCL, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJONATHAN W. BARTLETT\u003c\/b\u003e is a Professor of Medical Statistics at the London School of Hygiene \u0026amp; Tropical Medicine, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTIM P. MORRIS\u003c\/b\u003e is Principal Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eANGELA M. WOOD\u003c\/b\u003e is Professor of Health Data Science in the Department of Public Health and Primary Care, University of Cambridge, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMATTEO QUARTAGNO\u003c\/b\u003e is Senior Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMICHAEL G. KENWARD\u003c\/b\u003e retired in 2016 after sixteen years as GlaxoSmithKline Professor of Biostatistics at the London School of Hygiene \u0026amp; Tropical Medicine, UK.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 464\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 24, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42705220304959,"sku":"9781119756088","price":146.88,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/71f4804a2cace07bdebdb6d19fe02188.webp?v=1765035995","url":"https:\/\/dhlswag.com\/products\/multiple-imputation-and-its-application-hardcover","provider":"BBB","version":"1.0","type":"link"}