{"product_id":"real-world-health-care-data-douglas-faries-9781642957983","title":"Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS","description":"\u003cb\u003eDiscover best practices for real world data research with SAS code and examples\u003c\/b\u003e\u003cp\u003e Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. \u003ci\u003eReal World Health Care Data Analysis: Causal Methods and Implementation Using SAS\u003c\/i\u003e brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. \u003c\/p\u003e\u003cp\u003e The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods \u003c\/li\u003e \u003cli\u003e methods for comparing two interventions as well as comparisons between three or more interventions \u003c\/li\u003e \u003cli\u003e algorithms for personalized medicine \u003c\/li\u003e \u003cli\u003e sensitivity analyses for unmeasured confounding \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Douglas Faries, Xiang Zhang, Zbigniew Kadziola\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1642957984\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781642957983\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e SAS Institute\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/15\/2020\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 436\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.15lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.25w x 0.89d","brand":"Douglas Faries","offers":[{"title":"Paperback","offer_id":43995860467967,"sku":"9781642957983","price":84.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_48fecd57-1a18-42ad-816c-cd8d9e10dffc.jpg?v=1683338284","url":"https:\/\/www.whiterainbookhouse.com\/products\/real-world-health-care-data-douglas-faries-9781642957983","provider":"WR Book House","version":"1.0","type":"link"}