{"product_id":"statistical-analytics-for-health-data-science-with-sas-and-r-set-9781041089872","title":"Statistical Analytics for Health Data Science with SAS and R Set","description":"\u003cp\u003e • Author(s): Jeffrey Wilson\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis Ltd\u003cbr\u003e • Publisher Imprint: Taylor \u0026amp; Francis Ltd\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\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 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\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\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\u003cp\u003eKey Features: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExtensive compilation of commonly used statistical methods from fundamental to advanced level\u003c\/li\u003e \u003cli\u003eStraightforward explanations of the collected statistical theory and models\u003c\/li\u003e \u003cli\u003eIllustration of data analytics using commonly used statistical software of SAS\/R and real health data\u003c\/li\u003e \u003cli\u003eHandbook for data scientists and applied statisticians in health data science\u003c\/li\u003e \u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Misc","offer_id":46862543782039,"sku":"9781041089872","price":15183.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781041089872.webp?v=1769966657","url":"https:\/\/atlanticbooks.com\/products\/statistical-analytics-for-health-data-science-with-sas-and-r-set-9781041089872","provider":"Atlantic Books","version":"1.0","type":"link"}