A First Course In Causal Inference at Meripustak

A First Course In Causal Inference

Books from same Author: Ding and Peng

Books from same Publisher: T&F/Crc Press

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  • General Information  
    Author(s)Ding and Peng
    PublisherT&F/Crc Press
    Edition1st Edition
    ISBN9781032758626
    Pages448
    BindingHardcover
    Publish YearJuly 2024

    Description

    T&F/Crc Press A First Course In Causal Inference by Ding and Peng

    The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.