{"title":"Sophia Rabehesketh","description":null,"products":[{"product_id":"multilevel-and-longitudinal-modeling-using-stata-volumes-i-and-ii-third-edition-book-sophia-rabe-hesketh-9781597181082","title":"Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition","description":"This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are \"mixed\" because they allow fixed and random effects, and they are \"generalized\" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables. Volume I covers continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. Volume II discusses generalized linear mixed models for binary, categorical, count, and survival outcomes.","brand":"WoB","offers":[{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50031595356433,"sku":"CIN1597181080VG","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1597181080.jpg?v=1750959441"},{"product_id":"multilevel-and-longitudinal-modeling-using-stata-volume-ii-book-sophia-rabe-hesketh-9781597181044","title":"Multilevel and Longitudinal Modeling Using Stata, Volume II","description":"Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new chapter); models for count data; and models for survival data, including discrete-time and continuous-time (a new chapter) survival responses. The final part in volume II describes models with nested and crossed-random effects with an emphasis on binary outcomes.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50129934090513,"sku":"CIN1597181048G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":51853484196113,"sku":"CIN1597181048VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":51907444900113,"sku":"GOR013104799","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ WELL_READ \/ SBYB","offer_id":52819542737169,"sku":"CIN1597181048A","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1597181048.jpg?v=1750959440"},{"product_id":"multilevel-and-longitudinal-modeling-using-stata-second-edition-book-sophia-rabe-hesketh-9781597180405","title":"Multilevel and Longitudinal Modeling Using Stata, Second Edition","description":"Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels.    Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. The applications and exercises span a wide range of disciplines, making the book suitable for courses on multilevel and longitudinal modeling in the medical, social, and behavioral sciences and in applied statistics. This extensively revised second edition includes 3 new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new data sets.      The authors teach multilevel and longitudinal modeling at their universities and frequently hold workshops at international conferences. They have been developing a general modeling framework, GLLAMM, and Stata software gllamm for multilevel and latent variable modeling. This work has been published in their highly acclaimed book Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models and in many journals, including Biometrics, Psychometrika, Journal of Econometrics, and Journal of the Royal Statistical Society.","brand":"WoB","offers":[{"title":"GB \/ WELL_READ \/ INTERNAL","offer_id":50155045028113,"sku":"GOR013873844","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50183622066449,"sku":"CIN1597180408VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50393129222417,"sku":"CIN1597180408G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50490694304017,"sku":"GOR005688090","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ GOOD \/ INTERNAL","offer_id":52584822964497,"sku":"GOR006954279","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1597180408.jpg?v=1751438630"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-sophia-rabehesketh.oembed","provider":"World of Books ","version":"1.0","type":"link"}