Targeted Learning in Data Science

Name: Targeted Learning in Data Science
Brand: Springer International Publishing AG
SKU: 9783319653037
Price: 524.06 PLN
Availability: InStock

Autor: Mark J. Van Der Laan, Sherri Rose

Język:

Oprawa: Twarda

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-18 dni

524.06 zł

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

Informacje o książce

Autor

Mark J. Van Der Laan, Sherri Rose

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2018

strony

640

EAN

9783319653037

ISBN

3319653032

Enbook ID

16730460

Wydawca

Springer International Publishing AG

Waga

1104

Wymiary

158 x 234 x 37

Pełny opis

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.

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