{"product_id":"9780387989570","title":"Mixed-Effects Models in S and S-PLUS","description":"\u003cp\u003eAn 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. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much 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. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47011073360112,"sku":"9780387989570","price":109.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780387989570_p0.jpg?v=1763696483","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780387989570","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}