Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference.


Cousens, S; Hargreaves, J; Bonell, C; Armstrong, B; Thomas, J; Kirkwood, BR; Hayes, R; (2009) Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference. Journal of epidemiology and community health, 65 (7). pp. 576-81. ISSN 0143-005X DOI: 10.1136/jech.2008.082610

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Abstract

In non-randomised evaluations of public-health interventions, statistical methods to control confounding will usually be required. We review approaches to the control of confounding and discuss issues in drawing causal inference from these studies.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) > Dept of Nutrition and Public Health Interventions Research (2003-2012)
Faculty of Epidemiology and Population Health > Dept of Population Health (2012- )
Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection
Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
Research Centre: Centre for Evaluation
Centre for Global Non-Communicable Diseases (NCDs)
Tropical Epidemiology Group
PubMed ID: 19666633
Web of Science ID: 291467100005
URI: http://researchonline.lshtm.ac.uk/id/eprint/5060

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