{"product_id":"longitudinal-analysis-of-real-world-timetoevent-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\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 212 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 June 2026\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book presents a practical approach for researchers seeking to analyse patient data over time, serving as a comprehensive guide utilising the R programming language to analyse complex datasets efficiently. It is a valuable resource for professionals and researchers seeking evidence-based decision-making in healthcare and related fields.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 580g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032847474\u003c\/p\u003e","brand":"AtanuBhattacharjee","offers":[{"title":"Hardback","offer_id":49718770073850,"sku":"9781032847474","price":146.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1783732213817_book.jpg?v=1784368223","url":"https:\/\/shulphink.com\/products\/longitudinal-analysis-of-real-world-timetoevent-data-in-health-care-big-data-approach-using-r-9781032847474","provider":"Shulph Ink","version":"1.0","type":"link"}