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              Books by Zbigniew Kadziola

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              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
               

              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS (EPUB ebook)

              By Faries, Douglas; Zhang, Xiang; Kadziola, Zbigniew; Siebert, Uwe; Kuehne, Felicitas

              Discover best practices for real world data research with SAS code and examples 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. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS 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. 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: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding
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              ISBN 9781642958003
              Available in EPUB
              Software Adobe Ebook Compatible Devices
              Language en
              Released NZ 15 Jan 2020
              Publisher SAS Institute
              Interest Age General Audience
              View details for this title
              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
                

              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS (Hardback)

              By Faries, Douglas; Zhang, Xiang; Kadziola, Zbigniew

              • RRP: $321.99
              • $321.99
              • In Stock US

              Discover best practices for real world data research with SAS code and examples 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. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS 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. 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: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding
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              ISBN 9781642958027
              Released NZ 15 Jan 2020
              Publisher SAS Institute
              Interest Age General Audience
              Availability
              Internationally sourced; ships 6-12 working days
              View details for this title
              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
                

              Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS (Trade Paperback / Paperback)

              By Faries, Douglas; Zhang, Xiang; Kadziola, Zbigniew

              • RRP: $248.50
              • $248.50
              • In Stock US

              Discover best practices for real world data research with SAS code and examples 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. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS 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. 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: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding
              Read more

              ISBN 9781642957983
              Released NZ 15 Jan 2020
              Publisher SAS Institute
              Interest Age General Audience
              Availability
              Internationally sourced; ships 6-12 working days
              View details for this title
              Total 3 jump to: go