{"product_id":"9781041089872-statistical-analytics-for-health-data-s","title":"Statistical Analytics for Health Data Science with SAS and R, Two-Volume Set","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003e\u003ci\u003eStatistical Analytics for Health Data Science with SAS and R Set \u003c\/i\u003ecompiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003e\u003ci\u003eStatistical Analytics for Health Data Science with SAS and R, Two-Volume Set \u003c\/i\u003ecompiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies including models for longitudinal data with time-dependent covariates, multi-membership mixed-effects models, statistical modeling of survival data, Bayesian statistics, joint modeling of longitudinal and survival data, nonlinear regression, statistical meta-analysis, spatial statistics, structural equation modeling, latent growth curve modeling, causal inference and propensity score analysis.\u003c\/p\u003e\n\u003cp\u003eWith an emphasis on real-world applications, the books integrate publicly available health datasets and provide case studies from a variety of health applications demonstrating how statistical methods can be applied to solve critical problems in health science. To support hands-on learning, they offer implementation guidance using SAS and R, ensuring that readers can replicate analyses and apply statistical techniques to their own research. Step-by-step computational examples facilitate reproducibility and deeper exploration of statistical models. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eStatistical Analytics for Health Data Science with SAS and R\u003c\/i\u003e has been expanded from eleven chapters to twenty-three chapters in two textbooks and is intended for data scientists and applied statisticians while also being useful as a comprehensive reference for graduate students, academic researchers and public health professionals that will help them gain expertise in advance data-driven decision-making and contribute to evidence-based health research.\u003c\/p\u003e\n\u003cp\u003eKey Features:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExtensive compilation of commonly used statistical methods from fundamental to advanced level\u003c\/li\u003e\n\u003cli\u003eStraightforward explanations of the collected statistical theory and models\u003c\/li\u003e\n\u003cli\u003eIllustration of data analytics using commonly used statistical software of SAS\/R and real health data\u003c\/li\u003e\n\u003cli\u003eHandbook for data scientists and applied statisticians in health data science\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":57106781569398,"sku":"9781041089872","price":234.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/stand_40184795_0c0485b9-6cb3-4a90-9455-db3814f5c113.jpg?v=1772678483","url":"https:\/\/www.rarewaves.com\/products\/9781041089872-statistical-analytics-for-health-data-s","provider":"Rarewaves.com","version":"1.0","type":"link"}