
Fundamental Mathematics for Epidemiology Study
Ray M. Merrill(Author)
Jones and Bartlett Publishers, Inc
Published on 24. September 2018
Book
Paperback/Softback
138 pages
978-1-284-12733-1 (ISBN)
Description
As the first of its kind, this book reviews fundamental math concepts and procedures for epidemiology. Students will learn how to connect the math principles and procedures to the epidemiologic study designs. They will also will gain opportunities to apply the math principles to real-life problems and case studies.
More details
Language
English
Place of publication
Sudbury
United States
Target group
Professional and scholarly
Weight
255 gr
ISBN-13
978-1-284-12733-1 (9781284127331)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
Jones and Bartlett Publishers, Inc
€65.95
The article will not be published
Person
Ray M. Merrill, Ph.D., M.P.H. has been actively involved in epidemiology and biostatistics'since his professional career began in 1995. As a Cancer Prevention Fellow at the National Cancer Institute, he worked with leading researchers in the area of cancer epidemiology. In 1998 he joined the faculty in the Department of Health Science at Brigham Young University, Provo, Utah, where he continued his research in epidemiology. Since 1999 he has also held an adjunct faculty position in the Department of Family and Preventive Medicine at the University of Utah. In 2001, he spent a sabbatical working in the Unit of Epidemiology for Cancer Prevention at the International Agency for Research on Cancer Administration, Lyon, France. He has won various awards for his research in cancer epidemiology.Dr. Merrill'currently teaches introductory and advanced level classes in epidemiology and biostatistics. He has over 100 professional publications in epidemiology and public health journals. He is currently a full professor of epidemiology and biostatistics at Brigham Young University.