Xinguang Chen
Quantitative Epidemiology
Quantitative Epidemiology
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- More about Quantitative Epidemiology
This book is designed to train graduate students in public health and medicine to become independent researchers by teaching them data processing and quantitative analysis techniques using SAS programs. It covers theories, principles, methods, and skills for addressing medical, health, and behavioral challenges, with examples from real data.
Format: Paperback / softback
Length: 336 pages
Publication date: 24 February 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book is meticulously crafted to serve as a vital resource for graduate students across diverse disciplines within the fields of public health and medicine, with the primary objective of empowering them to embark on their journey as independent researchers. It delves into the core theories, principles, techniques, and methods indispensable for data processing and quantitative analysis, enabling students to address pressing medical, health, and behavioral challenges effectively. Through its engaging content, students will acquire the skills to access existing data and independently process their own data, employing quantitative analysis to gain insights into the distribution of medical or health problems. They will learn to identify influential factors contributing to disease or behavioral issues, thereby informing decision-making processes. Moreover, this book equips students with the knowledge and tools to promote health and prevent diseases, fostering a proactive approach to healthcare. Concepts, principles, methods, and skills are showcased through the integration of SAS programs, accompanied by visually captivating figures and tables derived from real, publicly available data. In addition to various methods for introductory analysis, the book highlights advanced techniques such as 4-dimensional measurement of distribution, geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis. By comprehensively covering these topics, this book equips graduate students with the necessary expertise to excel in their research endeavors and make meaningful contributions to the field of public health and medicine.
Weight: 550g
Dimension: 156 x 234 x 25 (mm)
ISBN-13: 9783030838546
Edition number: 1st ed. 2021
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