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Public Mental Health$
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William W. Eaton and M. Daniele Fallin

Print publication date: 2019

Print ISBN-13: 9780190916602

Published to Oxford Scholarship Online: June 2019

DOI: 10.1093/oso/9780190916602.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 04 December 2021

An Introduction to Quantitative Methods Relevant for Public Mental Health

An Introduction to Quantitative Methods Relevant for Public Mental Health

Chapter:
(p.105) 5 An Introduction to Quantitative Methods Relevant for Public Mental Health
Source:
Public Mental Health
Author(s):

Elizabeth A. Stuart

Jeannie-Marie Sheppard Leoutsakos

Rashelle Musci

Alden Gross

Ryan M. Andrews

William W. Eaton

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190916602.003.0006

This chapter provides a brief introduction to some of the epidemiologic and statistical methods for, and challenges to, gathering and analyzing the data that underlie the research presented in this volume and in the field of public mental health as a whole. The chapter is not intended as a general introduction to epidemiologic and statistical methods, but focuses more specifically on some of the data and methodological complexities particularly common in public mental health research. Three fundamental types of questions relevant to public mental health are discussed in particular: (1) estimating rates of disorders in a population across people, places, and time; (2) examining risk and protective factors associated with particular disorders; and (3) exploring and understanding the effects of interventions to prevent disorders or to treat them once they emerge.

Keywords:   statistical method, epidemiologic method, causal inference, complex survey, randomized experiment, nonexperimental studies, missing data, latent variable

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