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A first course in causal inference /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A first course in causal inference /Peng Ding.
Author:	Ding, Peng
Published:	Boca Raton, FL :CRC Press, Taylor & Francis Group,2024
Description:	xxvi, 421 p. :ill. ;27 cm.
Subject:	Mathematical statistics
ISBN:	9781032758626 :

A first course in causal inference /
Ding, Peng(Statistician),

A first course in causal inference /Peng Ding. - 1st ed. - Boca Raton, FL :CRC Press, Taylor & Francis Group,2024 - xxvi, 421 p. :ill. ;27 cm. - Chapman & Hall/CRC texts in statistical science. - Chapman & Hall/CRC texts in statistical science..

Includes bibliographical references (p. 395-416) and index.

"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. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"--

ISBN: 9781032758626 :NT$2552

LCCN: 2023056503Subjects--Topical Terms:

182294
Mathematical statistics

LC Class. No.: QA276 / .D536 2024

Dewey Class. No.: 519.5/4

A first course in causal inference /
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010 $a 2023056503
020 $a 9781032758626 : $c NT$2552
020 $a 9781032776316 (pbk.)
020 $z 9781003484080 (ebk.)
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040 $a DLC $b eng $c DLC $d DLC
050 0 0 $a QA276 $b .D536 2024
082 0 0 $a 519.5/4 $2 23/eng/20240316
100 1 $a Ding, Peng $c (Statistician), $e author. $3 1011697
245 1 2 $a A first course in causal inference / $c Peng Ding.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, Taylor & Francis Group, $c 2024
300 $a xxvi, 421 p. : $b ill. ; $c 27 cm.
490 1 $a Chapman & Hall/CRC texts in statistical science
504 $a Includes bibliographical references (p. 395-416) and index.
520 $a "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. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"-- $c Provided by publisher.
650 0 $a Mathematical statistics $3 182294
650 0 $a Probabilities $3 269300
650 0 $a Causation $x Mathematical models. $3 1011699
650 0 $a Inference $x Mathematical models. $3 1011700
830 0 $a Chapman & Hall/CRC texts in statistical science. $3 1011698