Fundamentals of causal inference (Record no. 565213)
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000 -LEADER | |
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fixed length control field | 02618 a2200265 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250422160150.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220121b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780367705053 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | IIT Kanpur |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.50285 |
Item number | B834f |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Brumback, Babette A. |
245 ## - TITLE STATEMENT | |
Title | Fundamentals of causal inference |
Remainder of title | with R |
Statement of responsibility, etc | Babette A. Brumback |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher | CRC Press |
Year of publication | 2022 |
Place of publication | Boca Raton, FL |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xii,236p |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Chapman and Hall/CRC texts in statistical science series |
490 ## - SERIES STATEMENT | |
Series statement | /edited by Joseph K. Blitzstein ...[et al.] |
500 ## - GENERAL NOTE | |
General note | Includes bibliographical references and index |
520 ## - SUMMARY, ETC. | |
Summary, etc | One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, difference-in-differences estimation, the front-door method, instrumental variables estimation, and propensity score methods. It also covers effect-measure modification, precision variables, mediation analyses, and time-dependent confounding. Several real data examples, simulation studies, and analyses using R motivate the methods throughout. The book assumes familiarity with basic statistics and probability, regression, and R and is suitable for seniors or graduate students in statistics, biostatistics, and data science as well as PhD students in a wide variety of other disciplines, including epidemiology, pharmacy, the health sciences, education, and the social, economic, and behavioral sciences.<br/><br/>Beginning with a brief history and a review of essential elements of probability and statistics, a unique feature of the book is its focus on real and simulated datasets with all binary variables to reduce complex methods down to their fundamentals. Calculus is not required, but a willingness to tackle mathematical notation, difficult concepts, and intricate logical arguments is essential. While many real data examples are included, the book also features the Double What-If Study, based on simulated data with known causal mechanisms, in the belief that the methods are best understood in circumstances where they are known to either succeed or fail. Datasets, R code, and solutions to odd-numbered exercises are available at www.routledge.com. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Mathematical statistics -- Data processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Causation |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Inference |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
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General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 31/01/2022 | 60 | 4332.16 | 519.50285 B834f | A185526 | 5415.20 | Books |