{"product_id":"nonparametric-models-for-longitudinal-da","title":"Nonparametric Models For Longitudinal Da","description":"\u003cp\u003eNonparametric Models for Longitudinal Data \u003ci\u003ewith Implementations in R\u003c\/i\u003e presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003eThis book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are balanced between theoretical and practical topics. The statistical applications in real-life examples lead into meaningful interpretations and inferences. \u003c\/p\u003e\u003cb\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\u003cp\u003eFeatures:\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eProvides an overview of parametric and semiparametric methods \u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eShows smoothing methods for unstructured nonparametric models\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eCovers structured nonparametric models with time-varying coefficients\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eDiscusses nonparametric shared-parameter and mixed-effects models\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003ePresents nonparametric models for conditional distributions and functionals\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eIllustrates implementations using R software packages\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003eIncludes datasets and code in the authors’ website\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cli\u003e\u003cul\u003eContains asymptotic results and theoretical derivations\u003c\/ul\u003e\u003c\/li\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003eBoth authors are mathematical statisticians at the National Institutes of Health (NIH) and have published extensively in statistical and biomedical journals. \u003cb\u003eColin O. Wu\u003c\/b\u003e earned his Ph.D. in statistics from the University of California, Berkeley (1990), and is also Adjunct Professor at the Georgetown University School of Medicine. He served as Associate Editor for \u003ci\u003eBiometrics\u003c\/i\u003e and \u003ci\u003eStatistics in Medicine\u003c\/i\u003e, and reviewer for National Science Foundation, NIH, and the U.S. Department of Veterans Affairs. \u003cb\u003eXin Tian\u003c\/b\u003e earned her Ph.D. in statistics from Rutgers, the State University of New Jersey (2003). She has served on various NIH committees and collaborated extensively with clinical researchers. \u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57310504255870,"sku":"NW9780367571665","price":64.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9780367571665.jpg?v=1778582877","url":"https:\/\/mediaplace.com\/en-eu\/products\/nonparametric-models-for-longitudinal-da","provider":"MediaPlace","version":"1.0","type":"link"}