Электронный каталог


 

База данных: Электронный Каталог

Страница 9, Результатов: 81

Отмеченные записи: 0


Etzioni, Ruth.
    Statistics for Health Data Science: An Organic Approach / Ruth Etzioni. - [S. l.] : Springer, 2020. - 222 p. - ISBN 978-3-030-59891-4 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
Statistics
Аннотация: Highly interdisciplinary - drawing from statistics, health services, economics, and informatics Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how to avoid misinterpreting results - to create confident users of appropriate analytic methods Addresses topical questions such as data science versus statistics, prediction versus explanation Provides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care In-depth discussion on selection bias in observational data methods for inferring causality Supplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models
Доп.точки доступа:
Mandel, Micha

Свободных экз. нет

Etzioni, Ruth. Statistics for Health Data Science: An Organic Approach [Текст] / Ruth Etzioni, 2020. - 222 p.

81.

Etzioni, Ruth. Statistics for Health Data Science: An Organic Approach [Текст] / Ruth Etzioni, 2020. - 222 p.



Etzioni, Ruth.
    Statistics for Health Data Science: An Organic Approach / Ruth Etzioni. - [S. l.] : Springer, 2020. - 222 p. - ISBN 978-3-030-59891-4 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
Statistics
Аннотация: Highly interdisciplinary - drawing from statistics, health services, economics, and informatics Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how to avoid misinterpreting results - to create confident users of appropriate analytic methods Addresses topical questions such as data science versus statistics, prediction versus explanation Provides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care In-depth discussion on selection bias in observational data methods for inferring causality Supplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models
Доп.точки доступа:
Mandel, Micha

Свободных экз. нет

Страница 9, Результатов: 81

 

Все поступления за 
Или выберите интересующий месяц

 

Подписывайтесь на обновления