Author | Barnighausen, Till | |
Author | Oldenburg, Catherine | |
Author | Tugwell, Peter | |
Author | Bommer, Christian | |
Author | Ebert, Cara | |
Author | Barreto, Maurício Lima | |
Author | Djimeu, Eric | |
Author | Haber, Noah | |
Author | Waddington, Hugh | |
Author | Rockers, Peter | |
Author | Sianesi, Barbara | |
Author | Bor, Jacob | |
Author | Fink, Günther | |
Author | Valentine, Jeffrey | |
Author | Tanner, Jeffrey | |
Author | Stanley, Tom | |
Author | Sierra, Eduardo | |
Author | Tchetgen, Eric Tchetgen | |
Author | Atun, Rifat | |
Author | Vollmer, Sebastian | |
Access date | 2018-04-12T12:03:38Z | |
Available date | 2018-04-12T12:03:38Z | |
Document date | 2017 | |
Citation | BARNIGHAUSEN, Till et al. Quasi-experimental study designs series-paper 7: assessing the assumptions. Journal of Clinical Epidemiology, v. 89, p. 1-14, 2017. | pt_BR |
ISSN | 0895-4356 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/25791 | |
Description | Barreto, Mauricio Lima. Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. “Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento”. | pt_BR |
Language | eng | pt_BR |
Publisher | Elsevier | pt_BR |
Rights | restricted access | pt_BR |
Subject in Portuguese | Projetos de pesquisa | pt_BR |
Subject in Portuguese | Epidemiologia | pt_BR |
Subject in Portuguese | Assistencia médica | pt_BR |
Subject in Portuguese | Sistemas de saúde | pt_BR |
Title | Quasi-experimental study designs series-paper 7: assessing the assumptions | pt_BR |
Type | Article | |
DOI | 10.1016/j.jclinepi.2017.02.017 | |
Abstract | Quasi-experimental designs are gaining popularity in epidemiology and health systems research-in particular for the evaluation of health care practice, programs, and policy-because they allow strong causal inferences without randomized controlled experiments. We describe the concepts underlying five important quasi-experimental designs: Instrumental Variables, Regression Discontinuity, Interrupted Time Series, Fixed Effects, and Difference-in-Differences designs. We illustrate each of the designs with an example from health research. We then describe the assumptions required for each of the designs to ensure valid causal inference and discuss the tests available to examine the assumptions. | pt_BR |
Affilliation | Heidelberg University. Faculty of Medicine. Institute of Public Health. Heidelberg, Germany /
School of Public Health. Harvard T.H. Chan. Department of Global Health and Population. Boston, USA / Africa Health Research Institute. Somkhele, South África. | pt_BR |
Affilliation | University of Califórnia. Francis I. Proctor Foundation. San Francisco, San Francisco, USA. | |
Affilliation | University of Ottawa. Department of Medicine. Ottawa, Canada. | |
Affilliation | University of Göttingen. Department of Economics. Göttingen, Germany. | |
Affilliation | Federal University of Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brazil / National Institute in Science, Technology and Innovation in Health. Salvador, BA, Brazil. | |
Affilliation | International Initiative for Impact Evaluation. London, UK / International Initiative for Impact Evaluation. Washington, DC, USA. | |
Affilliation | Harvard T.H. Chan School of Public Health. Department of Global Health and Population. Boston, USA. | |
Affilliation | International Initiative for Impact Evaluation. London, UK / International Initiative for Impact Evaluation. Washington, DC, USA. | |
Affilliation | Boston University. Center for Global Health and Development. Boston, USA. | |
Affilliation | Institute for Fiscal Studies. London, UK. | |
Affilliation | Boston University. School of Public Health. Boston, USA. | |
Affilliation | Harvard T.H. Chan School of Public Health. Department of Global Health and Population. Boston, USA. | |
Affilliation | University of Louisville. College of Education and Human Development. Louisville, USA. | |
Affilliation | World Bank. Impact Evaluation. Washington DC, USA. | |
Affilliation | Hendrix College. Conway, AR, USA. | |
Affilliation | Freiburg University. Centre for Medicine and Society. Freiburg, Germany. | |
Affilliation | Harvard T.H. Chan School of Public Health. Department of Global Health and Population. Boston, USA. | |
Affilliation | Harvard T.H. Chan School of Public Health. Department of Global Health and Population. Boston, USA. | |
Subject | Research Design | pt_BR |
Subject | Epidemiology | pt_BR |
Subject | Health care | pt_BR |
Subject | Health systems | pt_BR |
xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |