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Targeted Learning in Data Science

Name: Targeted Learning in Data Science
Brand: Springer International Publishing AG
SKU: 16730460
Price: 49766 HUF
Availability: InStock
Author: Mark J. Van Der Laan
ISBN: 9783319653037

Mark J. Van Der Laan

Sherri Rose

Language

English

Book Hardback

Libristo code: 16730460

Publishers Springer International Publishing AG, April 2018

This textbook for Masters and PhD graduate students in biostatistics, statistics, data science, and... Full description

Libristo code: 16730460

341 b

49 766 Ft

In stock at our supplier Shipping in 10-18 days

30-day return policy

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This textbook for Masters and PhD graduate students in biostatistics, statistics, data science, and epidemiology deals with the practical challenges that come with big, complex, and dynamic data while maintaining a strong theoretical foundation. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators to construct targeted machine learning algorithms that incorporate state of the art applications to estimate quantities of interest, while still providing valid inference. Targeted learning methods within data science are a critical component for answering complex statistical questions in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data involving time-dependent confounding and censoring as well as other estimands in dependent data structures, such as networks. Standard methods and software tools are not currently equipped for these challenges; however, targeted learning is tailored for these problems found in precision medicine, big data, and data science. Included in Targeted Learning in Data Science are demonstrations with software packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists.