Statistical Methods for Dynamic Treatment Regimes

Name: Statistical Methods for Dynamic Treatment Regimes
Brand: Springer-Verlag New York Inc.
SKU: 9781461474272
Price: 41213 HUF
Availability: InStock

Szerző: Chakraborty

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods dev...

Információk a könyvről

Szerző

Chakraborty

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2013

oldal

204

EAN

9781461474272

ISBN

1461474272

Enbook ID

01346772

Kiadó

Springer-Verlag New York Inc.

Súly

470

Méretek

239 x 159 x 22

Teljes leírás

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.

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