{"product_id":"mixed-effects-models-in-s-and-s-plus-statistics-and-computing","title":"Mixed-Effects Models in S and S-PLUS (Statistics and Computing)","description":"\u003cp\u003eThis paperback edition is a reprint of the 2000 edition.\u003c\/p\u003e \u003cp\u003eThis book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and applied to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. Over 170 figures areincluded in the book.\u003c\/p\u003e \u003cp\u003eThe NLME package for analyzing mixed-effects models in R and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented in the text, being described and illustrated in detail throughout the book.\u003c\/p\u003e \u003cp\u003eThe balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners using mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. Researchers in statistical computing will also find this book appealing for its presentation of novel and efficient computational methods for fitting linear and nonlinear mixed-effects models.\u003c\/p\u003e \u003cp\u003eJosé C. Pinheiro is a Senior Biometrical Fellow at Novartis Pharmaceuticals, having worked at Bell Labs during the time this book was produced. He has published extensively in mixed-effects models, dose finding methods in clinical development, and other areas of biostatistics.\u003c\/p\u003e \u003cp\u003eDouglas M. Bates is Professor of Statistics at the University of Wisconsin-Madison. He is the author, with Donald G. Watts, of Nonlinear Regression Analysis and Its Applications, a Fellow of the American Statistical Association, and a former chair of the Statistical Computing Section.\u003c\/p\u003e\u003cdiv class=\"sb-details\"\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Paperback\u003cbr\u003e\u003cstrong\u003ePublished:\u003c\/strong\u003e 2009\u003cbr\u003e\u003cstrong\u003ePages:\u003c\/strong\u003e 530\u003cbr\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Springer Science \u0026amp; Business Media\u003cbr\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9781441903174\u003c\/p\u003e\u003c\/div\u003e","brand":"Springer Science \u0026 Business Media","offers":[{"title":"Standard Secondhand — £23.41","offer_id":47901377953969,"sku":"SB-1441903178-C3","price":23.41,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0618\/2669\/5345\/files\/1441903178.jpg?v=1789673318","url":"https:\/\/sellbooks.co.uk\/products\/mixed-effects-models-in-s-and-s-plus-statistics-and-computing","provider":"Sell Books .co.uk","version":"1.0","type":"link"}