Quasi-experimental design
Author:
Affiliation:
1. Center For Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA
2. Department of Population Health Sciences, Duke University Medical Center, Durham NC, USA
Funder
VA HSR&D for Research
Publisher
Informa UK Limited
Subject
Health Informatics,Epidemiology
Link
https://www.tandfonline.com/doi/pdf/10.1080/24709360.2018.1477468
Reference23 articles.
1. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration
2. Good Research Practices for Comparative Effectiveness Research: Approaches to Mitigate Bias and Confounding in the Design of Nonrandomized Studies of Treatment Effects Using Secondary Data Sources: The International Society for Pharmacoeconomics and Outcomes Research Good Research Practices for Retrospective Database Analysis Task Force Report—Part II
3. Good Research Practices for Comparative Effectiveness Research: Analytic Methods to Improve Causal Inference from Nonrandomized Studies of Treatment Effects Using Secondary Data Sources: The ISPOR Good Research Practices for Retrospective Database Analysis Task Force Report—Part III
4. Prospective Observational Studies to Assess Comparative Effectiveness: The ISPOR Good Research Practices Task Force Report
5. Misunderstandings between experimentalists and observationalists about causal inference
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