Real World Health Care Data Analysis (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
436
Utgivningsdatum
2020-01-15
Förlag
SAS Institute
Medarbetare
Zhang, Xiang / Kadziola, Zbigniew
Illustrationer
Black & white illustrations
Dimensioner
280 x 210 x 23 mm
Vikt
976 g
Antal komponenter
1
Komponenter
406:B&W 8.25 x 11 in or 280 x 210 mm Perfect Bound on White w/Matte Lam
ISBN
9781642957983
Real World Health Care Data Analysis (häftad)

Real World Health Care Data Analysis

Causal Methods and Implementation Using SAS

Häftad Engelska, 2020-01-15
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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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