{"product_id":"longitudinal-analysis-of-real-world-time-to-event-data-in-health-care-big-data-approach-using-r-9781032847474","title":"Longitudinal Analysis of Real World Time-to-event Data in Health Care: Big Data Approach using R","description":"\u003cp\u003e • Author(s): Atanu Bhattacharjee\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Time Series\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a comprehensive guide, utilising the R programming language to analyse complex datasets efficiently. It provides step-by-step instructions and examples, aiding in data organisation and insightful analysis to accurately predict event occurrences and the impact of different variables on patient outcomes, enhancing decision-making in medical practice.\u003c\/p\u003e\u003cul\u003e \u003cli\u003eWith practical examples and case studies, it helps to learn how to apply analysis techniques to real-world healthcare datasets, gaining insights into complex data for informed decision-making\u003c\/li\u003e \u003cli\u003eOffers comprehensive coverage of relevant techniques and methodologies, including essential topics such as Big Data characteristics, Real-World Evidence significance, real-world data sources, longitudinal and survival data analysis, prediction models, and Bayesian analysis\u003c\/li\u003e \u003cli\u003eR code examples enable readers to follow along and replicate analyses on their own datasets, reinforcing understanding and practical skills in data analysis\u003c\/li\u003e \u003cli\u003eComplex statistical concepts are explained clearly, and theory and practical implementation are balanced to ensure an understanding of both concepts and techniques\u003c\/li\u003e \u003cli\u003eExplained how Big Data transforms healthcare and research, touching on precision medicine, population health management, and complementing clinical trials with RWE\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eIt covers data preprocessing, integration, and advanced modelling techniques to serve as a valuable resource for professionals and researchers seeking evidence-based decision-making in healthcare and related fields.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":47961035047063,"sku":"9781032847474","price":14551.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032847474.webp?v=1782822275","url":"https:\/\/atlanticbooks.com\/products\/longitudinal-analysis-of-real-world-time-to-event-data-in-health-care-big-data-approach-using-r-9781032847474","provider":"Atlantic Books","version":"1.0","type":"link"}