Evaluating Public Health Interventions: 8. Causal Inference for Time-Invariant Interventions
نویسندگان
چکیده
منابع مشابه
Interventions and Causal Inference
The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of “hard” and “soft” interventions, and discuss what they can contribut...
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Recent years have witnessed much progress in the incorporation of economic considerations into the evaluation of public health interventions. In England, the Centre for Public Health Excellence within the National Institute for Health and Care Excellence (NICE) works to develop guidance for preventing illness and assessing which public health interventions are most effective and provide best va...
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Public health interventions tend to be complex, programmatic, and context dependent. The evidence for their effectiveness must be sufficiently comprehensive to encompass that complexity. This paper asks whether and to what extent evaluative research on public health interventions can be adequately appraised by applying well established criteria for judging the quality of evidence in clinical pr...
متن کاملAlternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference.
BACKGROUND 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. METHODS Non-systematic review of literature and mathematical data-simulation. RESULTS Standard stratification and regression techniqu...
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We study the problem of using causal models to improve the rate at which good interventions can be learned online in a stochastic environment. Our formalism combines multi-arm bandits and causal inference to model a novel type of bandit feedback that is not exploited by existing approaches. We propose a new algorithm that exploits the causal feedback and prove a bound on its simple regret that ...
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ژورنال
عنوان ژورنال: American Journal of Public Health
سال: 2018
ISSN: 0090-0036,1541-0048
DOI: 10.2105/ajph.2018.304530