Dynamic Treatment Regimes (Record no. 824)

MARC details
000 -LEADER
fixed length control field 02657 a2200421 4500
001 - CONTROL NUMBER
control field 1032082283
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100357.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042021xx eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032082288
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 45.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code MBGR1
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Subject category code TDCW
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Subject category code MBGR1
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Subject category code PBT
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Subject category code MFN
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Subject category code PS
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Subject category code MAT029000
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Subject category code MED000000
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Subject category code MED016000
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Subject category code MED071000
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Subject category code MED107000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 610.21
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anastasios A. Tsiatis
245 10 - TITLE STATEMENT
Title Dynamic Treatment Regimes
Remainder of title Statistical Methods for Precision Medicine
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Chapman and Hall/CRC
Date of publication, distribution, etc. 20210802
300 ## - PHYSICAL DESCRIPTION
Extent 618 p
520 ## - SUMMARY, ETC.
Expansion of summary note Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive. Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Marie Davidian
Relationship A01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shannon T. Holloway
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Eric B. Laber
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