Comparison of imputation and inverse-weighting approaches for the estimation of causal effects in longitudinal data
Talk, ICSA Applied Statistics Symposium, Nashville, Tennessee, US
Talks and presentations
Recent advances in causal inference under irregular and informative observation times for the outcome
Talk, Statistics Seminar, McGill University, Montreal, Canada
Recent advances in causal inference under irregular observation times for the outcome
Talk, Biostatistics Seminar Series, NYU Grossman School of Medicine, Online (New York, US)
Addressing longitudinal missing data to develop an individualized treatment rule for the choice of antidepressant drug
Talk, CMStatistics 2023, Online (Berlin, Germany)
Developing adaptive treatment strategies under irregular measurement times of the outcome: Choosing an optimal antidepressant drug for patients with depression in data from KPW
Talk, College of Pharmacy, University of Florida, Gainesville, Florida, US
Recent advances in causal inference under irregular observation times for the outcome
Talk, Colloque de statistique, University of Regina, Regina, Sask., Canada (online)
Abstract and slides can be found here
Developing adaptive treatment strategies under irregular measurement times of the outcome: Choosing an optimal antidepressant drug for patients with depression in data from Kaiser Permanente Washington
Talk, Centre for Clinical Epidemiology’s Seminar Series, Jewish General Hospital, Montreal, Qc, Canada
Abstract and slides can be found here
Recent advances in causal inference under irregular observation times for the outcome
Talk, EpiBio Seminar Series, Western University, London, Ont., Canada (online)
Abstract and slides can be found here
Multiply robust estimation of the causal effect of treatment in data subject to irregular observation times and confounding
Talk, Joint Statistical Meetings 2023, Toronto
Abstract and slides can be found here
Using Multiple Imputations And Dynamic Weighted Survival Modeling To Develop An Individualized Treatment Rule For The Choice Of An Antidepressant Drug
Talk, ISI World Statistics Congress 2023, Ottawa
Abstract and slides can be found here
Using multiple imputations and DWSurv to develop an individualized treatment rule for the choice of antidepressant drug
Talk, Université Carleton, Annual meeting of the Statistical Society of Canada, Ottawa
Abstract and slides can be found here
Introduction à l’inférence causale et aux diagrammes causaux
Talk, Université de Montréal, Montréal
Abstract and slides can be found here
Développement d’une règle de traitement individuelle optimale en présence d’observation irrégulière du résultat
Talk, Université de Sherbrooke, Sherbrooke
Abstract and slides can be found here
Identifier un ensemble de variables d’ajustement à partir du diagramme causal
Talk, Dans le cadre des activités scientifiques de l'axe SP-POS, Quebec city, Canada
Abstract and slides can be found here
Causal inference with data subject to covariate-dependent observation times: An application to a cohort of new users of antidepressants
Talk, Statistics seminar series, Department of mathematics and statistics, Dalhousie University, Halifax, Nova Scotia, Canada
Abstract and slides can be found here
One-Stage Dynamic Treatment Regimes in Longitudinal Studies with Covariate-Driven Observation Times
Talk, Joint Statistical Meetings (JSM) 2022, Washington DC
Abstract and slides can be found here
Causal Inference with Data Subject to Covariate-Dependent Observation Times: An Application to a Cohort of New Users of Antidepressants
Talk, International Chinese Statistical Association (ICSA) Canada Chapter, Banff, Alberta, Canada
Abstract and slides can be found here
Règle de traitement individuelle optimale en présence d’observation irrégulière
Talk, Département de mathématiques, Université du Québec à Montréal (UQÀM), Montréal (QC), Canada
Le résumé et les diapositives se trouvent ici
Understanding and addressing the bias due to covariate-driven monitoring times in longitudinal observational studies
Talk, Department of Statistics, North Carolina State University (special Seminar), Held virtually
Slides and abstract can be found here.
Estimating the causal marginal effect of a continuous exposure on an ordinal outcome in the presence of confounding and covariate-driven monitoring times
Talk, Annual meeting of the Statistical Society of Canada, Held online due to COVID-19 pandemic
Abstract and slides can be found here
Simple adaptive treatment strategies in studies subject to informative monitoring times
Talk, Annual Meeting of the International Society for Clinical Biostatistics, Krakow, Poland (held online due to COVID-19 pandemic)
Weighting Methods to Account for Covariate-Informed Monitoring Times
Talk, Joint Statistical Meetings, Philadelphia, Pennsylvania, USA (held online due to COVID-19 pandemic)
Two weighted estimators for treatment effect that account for covariate-dependent monitoring times and confounding in longitudinal studies
Talk, Annual meeting of the Statistical Society of Canada, Calgary, CA
Challenges in jointly modelling irregular visit process and outcome process in observational studies: Review and extension
Talk, ENAR Spring meeting, Atlanta, USA