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Fundamentals of causal inference : =...

Brumback, Babette A.,

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Fundamentals of causal inference : = with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fundamentals of causal inference :/ Babette A. Brumback.
其他題名:	with R /
作者:	Brumback, Babette A.,
出版者:	Boca Raton, FL :CRC Press, : 2022.,
面頁冊數:	xii, 236 p. :ill. ;25 cm.
內容註:	1 Introduction -- 2 Conditional probability and expectation -- 3 Potential outcomes and the fundamental problem of causal inference -- 4 Effect-measure modification and causal interaction -- 5 Causal directed acyclic graphs -- 6 Adjusting for confounding : backdoor method via standardization -- 7 Adjusting for confounding : difference-in-differences estimators -- 8 Adjusting for confounding : front-door method -- 9 Adjusting for confounding : instrumental variables -- 10 Adjusting for confounding : propensity-score methods -- 11 Gaining efficiency with precision variables -- 12 Mediation -- 13 Adjusting for time-dependent confounding.
標題:	Estimation theory. -
ISBN:	9780367705053

Fundamentals of causal inference : = with R /
Brumback, Babette A.,

Fundamentals of causal inference :with R /Babette A. Brumback. - 1st ed. - Boca Raton, FL :CRC Press,2022. - xii, 236 p. :ill. ;25 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

Includes bibliographical references and index.

1 Introduction -- 2 Conditional probability and expectation -- 3 Potential outcomes and the fundamental problem of causal inference -- 4 Effect-measure modification and causal interaction -- 5 Causal directed acyclic graphs -- 6 Adjusting for confounding : backdoor method via standardization -- 7 Adjusting for confounding : difference-in-differences estimators -- 8 Adjusting for confounding : front-door method -- 9 Adjusting for confounding : instrumental variables -- 10 Adjusting for confounding : propensity-score methods -- 11 Gaining efficiency with precision variables -- 12 Mediation -- 13 Adjusting for time-dependent confounding.

ISBN: 9780367705053GBP56.99

LCCN: 2021022048Subjects--Topical Terms:

565962
Estimation theory.

LC Class. No.: QA276.8 / .B78 2022

Dewey Class. No.: 519.5/4

Fundamentals of causal inference : = with R /
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300 $a xii, 236 p. : $b ill. ; $c 25 cm.
490 1 $a Chapman & Hall/CRC texts in statistical science series
504 $a Includes bibliographical references and index.
505 0 # $a 1 Introduction -- 2 Conditional probability and expectation -- 3 Potential outcomes and the fundamental problem of causal inference -- 4 Effect-measure modification and causal interaction -- 5 Causal directed acyclic graphs -- 6 Adjusting for confounding : backdoor method via standardization -- 7 Adjusting for confounding : difference-in-differences estimators -- 8 Adjusting for confounding : front-door method -- 9 Adjusting for confounding : instrumental variables -- 10 Adjusting for confounding : propensity-score methods -- 11 Gaining efficiency with precision variables -- 12 Mediation -- 13 Adjusting for time-dependent confounding.
650 # 0 $a Estimation theory. $3 565962
650 # 0 $a Conditional expectations (Mathematics) $3 3269786
650 # 0 $a Effect sizes (Statistics) $3 843345
650 # 0 $a Acyclic models. $3 3641018
650 # 0 $a Causation $x Mathematical models. $3 3641019
650 # 0 $a Inference $x Mathematical models. $3 3641020
650 # 0 $a R (Computer program language) $3 784593
776 0 8 $i Electronic version: $a Brumback, Babette A. $t Fundamentals of causal inference. $b First edition. $d Boca Raton, FL ; Abingdon, Oxon : CRC Press, 2021 $z 9781000470338 $w (OCoLC)1290683529
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