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Quantitative epidemiology

Chen, Xinguang.

Quantitative epidemiology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative epidemiologyby Xinguang Chen.
Author:	Chen, Xinguang.
Published:	Cham :Springer International Publishing :2021.
Description:	1 online resource (xx, 336 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	EpidemiologyStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-030-83852-2
ISBN:	9783030838522$q(electronic bk.)

Quantitative epidemiology
Chen, Xinguang.

Quantitative epidemiology[electronic resource] /by Xinguang Chen. - Cham :Springer International Publishing :2021. - 1 online resource (xx, 336 p.) :ill., digital ;24 cm. - Emerging topics in statistics and biostatistics,2524-7743. - Emerging topics in statistics and biostatistics..

1. Introduction to Quantitative Epidemiology -- 2. Characters, Variables, Data, and Information -- 3. Quantitative Descriptive Epidemiology -- 4. Causal Exploration with Bivariate Analysis -- 5. Confirmation with Multiple Linear Regression -- 6. Multivariate Analyses of Categorical and Counting Data -- 7. Multivariate Analysis of Time to Event Data -- 8. Simultaneous Analysis of Two Correlated Predictors -- 9. Special Issues with Quantitative Epidemiology -- 10. Power Analysis.

This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis.

ISBN: 9783030838522$q(electronic bk.)

Standard No.: 10.1007/978-3-030-83852-2doiSubjects--Topical Terms:

183834
Epidemiology
--Statistical methods.

LC Class. No.: RA652.2.M3 / C44 2021

Dewey Class. No.: 614.40727

Quantitative epidemiology
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100 1 $a Chen, Xinguang. $3 858981
245 1 0 $a Quantitative epidemiology $h [electronic resource] / $c by Xinguang Chen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a 1 online resource (xx, 336 p.) : $b ill., digital ; $c 24 cm.
490 1 $a Emerging topics in statistics and biostatistics, $x 2524-7743
505 0 $a 1. Introduction to Quantitative Epidemiology -- 2. Characters, Variables, Data, and Information -- 3. Quantitative Descriptive Epidemiology -- 4. Causal Exploration with Bivariate Analysis -- 5. Confirmation with Multiple Linear Regression -- 6. Multivariate Analyses of Categorical and Counting Data -- 7. Multivariate Analysis of Time to Event Data -- 8. Simultaneous Analysis of Two Correlated Predictors -- 9. Special Issues with Quantitative Epidemiology -- 10. Power Analysis.
520 $a This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis.
650 0 $a Epidemiology $x Statistical methods. $3 183834
650 0 $a Epidemiology $x Research. $3 269555
650 1 4 $a Applied Statistics. $3 805583
650 2 4 $a Epidemiology. $3 191577
650 2 4 $a Biostatistics. $3 339693
650 2 4 $a Public Health. $3 320661
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Emerging topics in statistics and biostatistics. $3 858970
856 4 0 $u https://doi.org/10.1007/978-3-030-83852-2
950 $a Mathematics and Statistics (SpringerNature-11649)