عنوان

Statistical methods for dynamic treatment regimes :

شابک

1461474280 (electronic bk.)

شابک

9781461474289 (electronic bk.)

شابک اشتباه

9781461474272

شماره

dltt

عنوان اصلي

Statistical methods for dynamic treatment regimes :

نام عام مواد

[Book]

ساير اطلاعات عنواني

reinforcement learning, causal inference, and personalized medicine /

نام نخستين پديدآور

Bibhas Chakraborty, Erica E.M. Moodie

نام خاص و کميت اثر

1 online resource (xvi, 204 pages) :

ساير جزييات

illustrations

عنوان فروست

Statistics for biology and health,

شاپا ي ISSN فروست

1431-8776

متن يادداشت

Includes bibliographical references and index

متن يادداشت

The Data: Observational Studies and Sequentially Randomized Trials -- Statistical Reinforcement Learning -- Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes -- Estimation of Optimal DTRs by Directly Modeling Regimes -- G-computation: Parametric Estimation of Optimal DTRs -- Estimation DTRs for Alternative Outcome Types -- Inference and Non-regularity -- Additional Considerations and Final Thoughts

بدون عنوان

0

متن يادداشت

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medical paradigm that emphasizes the systematic use of individual patient information to optimize patient health care. This is the first single source to provide an overview of methodology and results gathered from journals, proceedings, and technical reports with the goal of orienting researchers to the field. The first chapter establishes context for the statistical reader in the landscape of personalized medicine. Readers need only have familiarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors provide analytic approaches in sufficient detail that any researcher with knowledge of statistical programming could implement the methods from scratch. This will be an important volume for a wide range of researchers, including statisticians, epidemiologists, medical researchers, and machine learning researchers interested in medical applications. Advanced graduate students in statistics and biostatistics will also find material in Statistical Methods for Dynamic Treatment Regimes to be a critical part of their studies

عنوان

OhioLINK electronic book center (Online)

عنوان

SpringerLink

موضوع مستند نشده

Medical records-- Data processing

موضوع مستند نشده

Medical statistics

موضوع مستند نشده

MBNS

موضوع مستند نشده

MED090000

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

شماره رده

مستند نام اشخاص تاييد نشده

Chakraborty, Bibhas

مستند نام اشخاص تاييد نشده

Moodie, Erica E. M.

مستند نام تنالگان تاييد نشده

Ohio Library and Information Network

تاريخ عمليات

20210107121835.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y