{"title":"James R. Carpenter","description":"\u003cp\u003eWelcome to the collection of works by \u003cem\u003eJames R. Carpenter\u003c\/em\u003e, a distinguished author and academic in the field of statistical science and its practical applications. With a focus on making complex ideas accessible, Carpenter's contributions are invaluable resources for both students and professionals.\u003c\/p\u003e\n\n\u003cp\u003eAmong Carpenter's celebrated works is the book \u003cstrong\u003eMultiple Imputation and its Application\u003c\/strong\u003e. This essential text delves into the intricacies of multiple imputation methods, a crucial statistical technique used to handle missing data across various research disciplines. Known for clarity and depth, this book guides readers through theoretical foundations while providing practical examples.\u003c\/p\u003e\n\n\u003cp\u003eJames R. Carpenter, with his expertise rooted in statistical methodology, aims to bridge the gap between technical precision and real-world application. As you explore his works, you'll find that his dedication to education and research provides both a comprehensive understanding and a practical approach to the challenges faced in Science \u0026amp; Nature.\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\/james-r-carpenter.oembed","provider":"Book Hero","version":"1.0","type":"link"}