BookShared
  • MEMBER AREA    
  • Causal Inference: What If

    (By Miguel Angel Hernán)

    Book Cover Watermark PDF Icon Read Ebook
    ×
    Size 27 MB (27,086 KB)
    Format PDF
    Downloaded 668 times
    Last checked 14 Hour ago!
    Author Miguel Angel Hernán
    “Book Descriptions: The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.”

    Google Drive Logo DRIVE
    Book 1

    Regression and Other Stories (Analytical Methods for Social Research)

    ★★★★★

    Andrew Gelman

    Book 1

    Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)

    ★★★★★

    Richard McElreath

    Book 1

    The Effect

    ★★★★★

    Nick Huntington-Klein

    Book 1

    Stay True

    ★★★★★

    Hua Hsu

    Book 1

    Deep Work: Rules for Focused Success in a Distracted World

    ★★★★★

    Cal Newport

    Book 1

    Blood Meridian, or, the Evening Redness in the West

    ★★★★★

    Cormac McCarthy

    Book 1

    Stoner

    ★★★★★

    John Williams

    Book 1

    Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

    ★★★★★

    Cameron Davidson-Pilon

    Book 1

    Fleishman Is in Trouble

    ★★★★★

    Taffy Brodesser-Akner