Browsing Faculté de pharmacie – Travaux et publications by Affiliation "Université de Montréal. École de santé publique. Département de médecine sociale et préventive"
Now showing items 1-4 of 4
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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 ... -
Data-adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss-based estimation
(Wiley, 2019)Causal inference methods have been developed for longitudinal observationalstudy designs where confounding is thought to occur over time. In particular,one may estimate and contrast the population mean counterfactual outcomeunder specific exposure ... -
Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning : an observational individual patient data network meta-analysis
Estimating MDR-TB treatment importance using TMLE
(Wiley, 2019)Persons with multidrug‐resistant tuberculosis (MDR‐TB) have a disease resulting from a strain of tuberculosis (TB) that does not respond to at least isoniazid and rifampicin, the two most effective anti‐TB drugs. MDR‐TB is always treated with multiple ... -
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 ...