Parcourir l'index des titres "Statistical methods in medical research"
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Causal inference with multiple concurrent medications: a comparison of methods and an application in multidrug-resistant tuberculosis
(SAGE, 2018-10-31)This paper investigates different approaches for causal estimation under multiple concurrent medications. Our parameter of interest is the marginal mean counterfactual outcome under different combinations of medications. We explore parametric and ... -
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
(SAGE, 2021)Effect modification occurs while the effect of the treatment is not homogeneous across the different strata of patient characteristics. When the effect of treatment may vary from individual to individual, precision medicine can be improved by identifying ... -
Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators
(SAGE, 2018-05-02)Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust semiparametric methods for estimating marginal causal effects. However, in the presence of near practical positivity violations, these methods can produce ...