{"product_id":"generalized-estimating-equations-9781439881132","title":"Generalized Estimating Equations","description":"\u003cp\u003e\u003cstrong\u003eGeneralized Estimating Equations, Second Edition\u003c\/strong\u003e updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in the final chapter as well as on the book's website.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis second edition incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Other enhancements include an examination of GEE marginal effects; a more thorough presentation of hypothesis testing and diagnostics, covering competing hierarchical models; and a more detailed examination of previously discussed subjects. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eAlong with doubling the number of end-of-chapter exercises, this edition expands discussion of various models associated with GEE, such as penalized GEE, cumulative and multinomial GEE, survey GEE, and quasi-least squares regression. It also offers a thoroughly new presentation of model selection procedures, including the introduction of an extension to the QIC measure that is applicable for choosing among working correlation structures. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eSee Professor Hilbe discuss the book.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eJames W. Hardin\u003c\/strong\u003e is the Division Director of Biostatistics and an associate professor in the Department of Epidemiology and Biostatistics at the University of South Carolina. He is also an affiliated faculty in the Institute for Families in Society. Professor Hardin was the initial author of Stata's \u003ci\u003extgee\u003c\/i\u003e command and has authored numerous articles and software applications related to GEE and associated models. Professor Hilbe and he have authored three editions of the popular \u003ci\u003eGeneralized Linear Models and Extensions\u003c\/i\u003e and co-authored Stata's current \u003ci\u003eglm \u003c\/i\u003ecommand. He has also co-authored (with P. Good) four editions of the well-accepted \u003ci\u003eCommon Errors in Statistics (and How to Avoid Them)\u003c\/i\u003e.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eJoseph M. Hilbe\u003c\/strong\u003e is a Solar System Ambassador with the Jet Propulsion Laboratory, an adjunct professor of statistics at Arizona State University, and an Emeritus Professor at the University of Hawaii. An elected fellow of the American Statistical Association and elected member of the International Statistical Institute (ISI), Professor Hilbe is president of the International Astrostatistics Association as well as chair of the ISI Sports Statistics and Astrostatistics committees. He has authored two editions of the bestseller \u003ci\u003eNegative Binomial Regression, Logistic Regression Models, \u003c\/i\u003eand \u003ci\u003eAstrostatistical Challenges for the New Astronomy\u003c\/i\u003e. He has also co-authored \u003ci\u003eMethods of Statistical Model Estimation\u003c\/i\u003e (with A. Robinson), \u003ci\u003eQuasi-Least Squares Regression\u003c\/i\u003e (with J. Shults), and \u003ci\u003eR for Stata Users\u003c\/i\u003e (with R. Muenchen). \u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50337141817618,"sku":"9781439881132","price":138.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_5b91ad90-d9a3-4b3a-b87c-f137f4cb0918.jpg?v=1727954567","url":"https:\/\/surprise-castle.myshopify.com\/products\/generalized-estimating-equations-9781439881132","provider":"Surprise Castle","version":"1.0","type":"link"}