{"title":"Matteo Quartagno","description":"\u003cp\u003eExplore the insightful works of Matteo Quartagno, a distinguished author in the realms of \u003cem\u003eScience \u0026amp; Nature\u003c\/em\u003e. Quartagno's writings, such as \u003cstrong\u003eMultiple Imputation and its Application\u003c\/strong\u003e, showcase his expertise in statistical methodologies and their practical application in diverse scientific fields.\u003c\/p\u003e\n\n\u003cp\u003eMatteo Quartagno specializes in the innovative technique of multiple imputation, a statistical method used to handle missing data for robust and reliable analysis. His contributions are invaluable for researchers, statisticians, and scientists aiming to enhance the accuracy of their studies and experiments. Quartagno's approach combines theoretical insight with practical implementation, making his books a must-read for anyone delving into the intricacies of statistical science.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're a seasoned researcher or a curious novice, Quartagno's books offer clear explanations and valuable perspectives, helping readers navigate the complexities of data analysis with greater confidence and understanding.\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\/matteo-quartagno.oembed","provider":"Book Hero","version":"1.0","type":"link"}