Causal inference in statistics: a primer (Record no. 52285)

MARC details
000 -LEADER
fixed length control field 02436 a2200265 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200902b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119186847
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number PEA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pearl, Judea
245 ## - TITLE STATEMENT
Title Causal inference in statistics: a primer
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc 2016.
Place of publication, distribution, etc Chichester:
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 136 p.: ill.;
Other physical details pb;
Dimensions 25 cm.
365 ## - TRADE PRICE
Price type code USD
Price amount 46.75
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Causal Inference in Statistics: A Primer Judea Pearl, Computer Science and Statistics, University of California Los Angeles, USA Madelyn Glymour, Philosophy, Carnegie Mellon University, Pittsburgh, USA and Nicholas P. Jewell, Biostatistics, University of California, Berkeley, USA 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, "Dus 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 gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Causation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element interventions
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element counterfactuals
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Graphical method
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Glymour, Madelyn
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jewell, Nicholas P.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type Public note
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 01/09/2020 Astha Books Agency 3536.64 4 519.5 PEA 029271 06/12/2023 02/05/2023 1 3536.64 Books Currency: INR, Invoice no: IN15380, Invoice date: 10-08-2020


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