This age sex matched controls in Billings an open access article distributed under the terms of the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This led to greater before-matching differences on the observed variable, because of the correlation assumed between the individual-level variables. Meta-epidemiological work can control for only a limited number of study characteristics Deeks et al. Common approaches to estimate the SATT assume no unobserved confounding.
The bound is an estimate of how large an association between this unobserved variable and treatment group could be tolerated without altering the findings about the impact of the intervention. Not allowing for this effect can overstate the effect of an intervention. London: King's Fund; Implications for Evaluation of Hospital-Avoidance Schemes This study was age sex matched controls in Billings in a challenging context, where the evaluation was commissioned up to 3 years after the intervention had begun.
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Department of Community Medicine, Dr. Similarly, when area-level variation in outcomes existed but was entirely explained by the observed variables, using a matched control area again produced the least biased estimates, though no longer the lowest MSE Fig.
Yogesh Bansal Search articles by 'Yogesh Bansal'. Liu and S.