{"product_id":"9780470090435","title":"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eApplied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives\u003c\/h1\u003e\u003ch3\u003eAndrew Gelman | Xiao-Li Meng\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ Bayesian Analysis\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003ci\u003e\u003cb\u003eApplied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThis book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data.\u003c\/p\u003e \u003cp\u003eKey features of the book include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eComprehensive coverage of an imporant area for both research and applications.\u003c\/li\u003e \u003cli\u003eAdopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.\u003c\/li\u003e \u003cli\u003eCovers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.\u003c\/li\u003e \u003cli\u003eIncludes a number of applications from the social and health sciences.\u003c\/li\u003e \u003cli\u003eEdited and authored by highly respected researchers in the area.\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eAndrew Gelman\u003c\/b\u003e is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are \u003ci\u003eBayesian Data Analysis\u003c\/i\u003e (1995, second edition 2003) and \u003ci\u003eTeaching Statistics: A Bag of Tricks\u003c\/i\u003e (2002).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eXiao-Li Meng,\u003c\/b\u003e Department of Statistics, Harvard University, USA.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 September 2004\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470090435\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e440\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e28.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379976728716,"sku":"9780470090435","price":138.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470090435.jpg?v=1780239095","url":"https:\/\/lateknightbooks.com\/products\/9780470090435","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}