{"title":"Michael G. Kenward","description":"\u003cp\u003eWelcome to our collection featuring the works of \u003cstrong\u003eMichael G. Kenward\u003c\/strong\u003e, a distinguished author renowned for his contributions to the field of statistics. His expertise shines through in comprehensive texts that are ideal for both budding statisticians and seasoned professionals seeking deeper insights into the application of statistical methods.\u003c\/p\u003e\n\n\u003cp\u003eKenward's books, such as \u003cem\u003eMultiple Imputation and its Application\u003c\/em\u003e, are particularly notable for their clarity and depth in the realm of \u003cem\u003emissing data analysis\u003c\/em\u003e, a critical area in statistical research. This book provides a thorough introduction to multiple imputation techniques, offering practical solutions to common challenges faced by statisticians and researchers in various scientific disciplines.\u003c\/p\u003e\n\n\u003cp\u003eWhether you are delving into the intricacies of data collection, analysis, and interpretation in \u003cem\u003eScience \u0026amp; Nature\u003c\/em\u003e, or exploring broader applications of statistical methodologies, Michael G. Kenward's works serve as indispensable resources. His writings are not only educational but also conversational, making complex theories accessible and engaging for a diverse audience.\u003c\/p\u003e\n\n\u003cp\u003eExplore this category to enrich your understanding and command of statistical science, guided by Kenward’s expert insights and comprehensive analyses.\u003c\/p\u003e","products":[{"product_id":"multiple-imputation-and-its-application-by-angela-m-wood-9781119756088","title":"Multiple Imputation and its Application","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eMultiple Imputation and its Application\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eThe most up-to-date edition of a bestselling guide to analysing partially observed data\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eIn this comprehensively revised Second Edition of \u003cem\u003eMultiple Imputation and its Application\u003c\/em\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\n\n\u003cp\u003eWith an accessible and carefully structured presentation aimed at quantitative researchers, \u003cem\u003eMultiple Imputation and its Application\u003c\/em\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\n\n\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\n  \u003cli\u003eCareful discussion of key concepts\u003c\/li\u003e\n  \u003cli\u003eA range of examples illustrating the key ideas\u003c\/li\u003e\n  \u003cli\u003ePractical advice on using multiple imputation\u003c\/li\u003e\n  \u003cli\u003eExercises and examples designed for use in the classroom and\/or private study\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, \u003cem\u003eMultiple Imputation and its Application\u003c\/em\u003e will also earn a place in the libraries of graduate students undertaking quantitative analyses.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854694895852,"sku":"9781119756088","price":154.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/8f9e338a6c51af8d60c22ae92e1b691b.jpg?v=1759266291"}],"url":"https:\/\/bookhero.live\/collections\/michael-g-kenward.oembed","provider":"Book Hero","version":"1.0","type":"link"}