Quasi-experiments are a valuable source of evidence about effects of interventions, programs and policies: commentary from the Campbell Collaboration Study Design and Bias Assessment Working Group

Journal article

Open access

Peer reviewed

Hugh Sharma Waddington, David B Wilson, Terri Pigott, Gavin Stewart, Ariel M Aloe, Peter Tugwell and Vivian Welch

Journal of clinical epidemiology, Vol.152, pp.311-313

12/2022

DOI: 10.1016/j.jclinepi.2022.11.005

PMID: 36356851

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no abstract

Bias

Humans

Policy

Research Design

Title: Subtitle: Quasi-experiments are a valuable source of evidence about effects of interventions, programs and policies: commentary from the Campbell Collaboration Study Design and Bias Assessment Working Group
Creators: Hugh Sharma Waddington - London School of Hygiene and Tropical Medicine, Department of Disease Control, Environmental Health Group, UK. Electronic address: hugh.waddington@lshtm.ac.uk
David B Wilson - George Mason University
Terri Pigott - Georgia State University
Gavin Stewart - Modelling, Evidence & Policy Group, Newcastle University, UK
Ariel M Aloe - University of Iowa
Peter Tugwell - University of Ottawa
Vivian Welch - The Campbell Collaboration, Oslo, Norway
Resource Type: Journal article
Publication Details: Journal of clinical epidemiology, Vol.152, pp.311-313
DOI: 10.1016/j.jclinepi.2022.11.005
PMID: 36356851
NLM abbreviation: J Clin Epidemiol
ISSN: 0895-4356
eISSN: 1878-5921
Language: English
Date published: 12/2022
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9984371114202771

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