منابع مشابه
Robust Testing for Causal Inference in Observational Studies
A vast number of causal inference studies use matching techniques, where treatment cases are matched with similar control cases. For observational data in particular, we claim there is a major source of uncertainty that is essentially ignored in these tests, which is the way the assignments of matched pairs are constructed. It is entirely possible, for instance, that a study reporting an estima...
متن کاملFacilitating score and causal inference trees for large observational studies
Assessing treatment effects in observational studies is a multifaceted problem that not only involves heterogeneous mechanisms of how the treatment or cause is exposed to subjects, known as propensity, but also differential causal effects across sub-populations. We introduce a concept termed the facilitating score to account for both the confounding and interacting impacts of covariates on the ...
متن کاملRobust Nonparametric Testing for Causal Inference in Observational Studies
We consider the decision problem of making causal conclusions from observational data. Typically, using standard matched pairs techniques, there is a source of uncertainty that is not usually quantified, namely the uncertainty due to the choice of the experimenter: two different reasonable experimenters can easily have opposite results. In this work we present an alternative to the standard non...
متن کاملMatching methods for causal inference: Designing observational studies
Much research in the social sciences attempts to estimate the effect of some intervention or “treatment” such as a school dropout prevention program or television watching. However, particularly in the social sciences, it is generally not possible to randomly assign units to receive the treatment condition or the control condition, and thus the resulting data are observational, where we simply ...
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ژورنال
عنوان ژورنال: The Journal of Infectious Diseases
سال: 2018
ISSN: 0022-1899,1537-6613
DOI: 10.1093/infdis/jiy392