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Causal Inference in Statistics: A Primer

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Causal Inference in Statistics: A Primer - Pearl, Judea, and Glymour, Madelyn, and Jewell, Nicholas P.
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CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that ...

Causal Inference in Statistics: A Primer 2016, John Wiley & Sons Inc, New York

ISBN-13: 9781119186847