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Showing 1 to 3 of 3 for “"doubly robust estimators"”.
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Causal Inference Methods for Estimation of Survival and General Health Status Measures of Alzheimer’s Disease Patients
… out a thorough causal inference study using doubly robust estimators, nonparametric bootstrap confidence intervals, Bonferroni corrections for multiple comparisons and analyzing one of the largest high-quality medical databases containing millions of de-identified electronic health records …
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Applications of Causal Inference Methods for the Estimation of Effects of Bone Marrow Transplant and Prescription Drugs on Survival of Aplastic Anemia Patients
… techniques to navigate complex data. Utilizing robust, clinically significant methods such as doubly robust estimators, our research reveals a marked improvement in survival rates for BMT recipients, particularly adults, over one year. The studies also recognize the typically more severe stages …
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Weighting and moment conditions in Bayesian inference
… that use estimated weights include so-called doubly robust estimators, which have become popular in causal inference. There is a lack of consensus regarding the role of probability weights in Bayesian inference. In some settings, it is reasonable to believe that conditioning on certain …