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Simon G. Thompson

    Mendelian Randomization
    Haskell. The Craft of Functional Programming
    • 2021

      Mendelian Randomization

      Methods for Causal Inference Using Genetic Variants

      • 226 pages
      • 8 hours of reading

      Mendelian randomization (MR) employs genetic instrumental variables to draw causal inferences from observational data, offering a robust method for evaluating the causal relationships of risk factors like biomarkers with various disease outcomes. This approach enhances the understanding of how genetic factors influence health and disease, providing valuable insights for research and potential interventions.

      Mendelian Randomization
    • 1999
      3.5(156)Add rating

      The second edition of The Craft of Functional Programming is essential reading for beginners to functional programming and newcomers to the Haskell programming language. The emphasis is on the process of crafting programs and the text contains many examples and running case studies, as well as advice on program design, testing, problem solving and how to avoid common pitfalls.

      Haskell. The Craft of Functional Programming