Browsing Faculté de pharmacie – Travaux et publications by Author "Schnitzer, Mireille"
Now showing items 1-10 of 10
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The application of target trials with longitudinal targeted maximum likelihood estimation to assess the effect of alcohol consumption in adolescence on depressive symptoms in adulthood
Liu, Yan; Schnitzer, Mireille; Herrera, Ronald; Díaz, Iván; O’Loughlin, Jennifer; Sylvestre, Marie-Pierre (Oxford University Press, 2023-12-07)Time-varying confounding is a common challenge for causal inference in observational studies with time-varying treatments, long follow-up periods, and participant dropout. Confounder adjustment using traditional approaches can also be limited by data ... -
Causal inference with multiple concurrent medications: a comparison of methods and an application in multidrug-resistant tuberculosis
Siddique, Arman Alam; Schnitzer, Mireille; Bahamyirou, Asma; Guanbo, Wang; Holtz, Timothy H.; Migliori, Giovanni B (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 ... -
Clinical correlates identify ProBDNF and thrombo-inflammatory markers as key predictors of circulating p75NTR extracellular domain levels in older adults
Fleury, Samuel; Schnitzer, Mireille; Ledoux-Hutchinson, Lawrence; Boukhatem, Imane; Bélanger, Jean-Christophe; Welman, Mélanie; Busseuil, David; Tardif, Jean-Claude; D’Antono, Bianca; Lordkipanidzé, Marie (Frontiers Media, 2022-02-21)The p75NTR receptor binds all neurotrophins and is mostly known for its role in neuronal survival and apoptosis. Recently, the extracellular domain (ECD) of p75NTR has been reported in plasma, its levels being dysregulated in numerous neurological ... -
Clinical importance of thrombocytopenia in patients with acute coronary syndromes : a systematic review and meta-analysis
Thrombocytopenia in acute coronary syndromes
Discepola, Vanessa; Schnitzer, Mireille; Jolicoeur, Marc; Rousseau, Guy; Lordkipanidzé, Marie (Taylor & Francis, 2018-10-22)Thrombocytopenia (TP) is common in hospitalized patients. In the context of acute coronary syndromes (ACS), TP has been linked to adverse clinical outcomes. We present a systematic review and meta-analysis of the evidence on the clinical importance of ... -
Data-adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss-based estimation
Schnitzer, Mireille; Sango, Joel; Ferreira Guerra, Steve; Van der Laan, Mark J. (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
Wang, Guanbo; Schnitzer, Mireille; Menzies, Dick; Viiklepp, Piret; Holtz, Timothy H.; Benedetti, Andrea (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 ... -
Impact of discretization of the timeline for longitudinal causal inference methods
Ferreira Guerra, Steve; Schnitzer, Mireille; Forget, Amélie; Blais, Lucie (Wiley, 2020-09-01)In longitudinal settings, causal inference methods usually rely on a discretization of the patient timeline that may not reflect the underlying data generation process. This paper investigates the estimation of causal parameters under discretized ... -
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
Liu, Yan; Schnitzer, Mireille; Wang, Guanbo; Kennedy, Edward; Viiklepp, Piret; Vargas, Mario H.; Sotgiu, Giovanni; Menzies, Dick; Benedetti, Andrea (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 ... -
A tutorial on dealing with time‐varying eligibility for treatment: Comparing the risk of major bleeding with direct‐acting oral anticoagulants vs warfarin
Schnitzer, Mireille; Platt, Robert; Durand, Madeleine (Wiley, 2020-08-18)In this tutorial, we focus on the problem of how to define and estimate treatment effects when some patients develop a contraindication and are thus ineligible to receive a treatment of interest during follow-up. We first describe the concept of ... -
Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators
Bahamyirou, Asma; Blais, Lucie; Forget, Amélie; Schnitzer, Mireille (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 ...