Theoretical concepts and computational methods using SAS applications
The following individuals were responsible for the production of this textbook.
William J. Montelpare, Ph.D., Professor, and the Margaret and Wallace McCain Chair in Human Development and Health,
Department of Applied Human Sciences, Faculty of Science/Faculty of Nursing,
Rm 122, Health Sciences Building, University of Prince Edward Island,
550 Charlottetown, PE, Canada, C1A 4P3
Emily A. Read, Ph.D., RN, University of New Brunswick (email@example.com)
Teri McComber, Ph.D.(c), University of Prince Edward Island (firstname.lastname@example.org)
Alyson Mahar, Ph.D., University of Manitoba (Alyson_mahar@cpe.umanitoba.ca)
Krista Ritchie, Ph.D., Mount Saint Vincent University (email@example.com)
From a pedagogical perspective, this textbook will introduce the essential elements of statistical methods applied to research questions in health using applications at an intermediate level while providing examples for the reader to relate applications of these methods to health data. The methods include but are not limited to examples from health related disciplines — healthcare, health services delivery, and health promotion with a view to understanding and implementing research design and statistical applications that researchers may use as a basis for the development of research hypotheses and a theoretical foundation for program planning, policy changes, and program modifications.
The textbook is arranged intentionally for instructors and students to work through a logical approach to statistical applications that progress from basic concepts to more complex applications of statistical methodology.