Workshops organized
Karim ME, Hossain MB. High-dimensional propensity score and its machine learning extensions in residual confounding control. The Statistical Society of Canada Conference; University of Saskatchewan, Saskatoon, Canada; 25 May 2025. Workshop materials
Karim ME, Hossain MB, Frank H, Mondol M. Decoding Machine Learning for Public Health Research: Case Studies from Epidemiological Research. Digital Public Health Seminar Series hosted by the Digital & Sexual Health Initiative at the University of British Columbia School of Population and Public Health & British Columbia Centre for Disease Control; Vancouver, Canada; 10 July 2024. Workshop link
Hossain MB. Analyzing survival data with a time-invariant and time-dependent treatment. British Columbia Centre for Disease Control Educational Workshop: R program, Vancouver, Canada (Online); 14 April 2023. Slides
Training/Workshops as a Participant
Causal inference
Target Trial Emulation Using Observational Data to Determine What Works
Statistical Horizons, Pennsylvania, US (17 July 2024; Online)
From Sample Surveys to Missing Data and Causal Inference
Statistical Society of Canada, Canada (4 June 2022; Online)
So Many Choices: The Comparative Performance of Statistical Adjustment Methods
Society for Causal Inference, United States (15 Feb 2022; Online)
Adherence data analysis
The International Society for Medication Adherence, Belgium (17 Oct – 17 Nov 2020; Online)
A practical introduction to propensity score analysis using R
University of British Columbia, Canada (30 Sep 2020; Online)
Statistical methods in pharmacoepidemiology and pharmacoeconomics
Jagiellonian University, Poland (27 Aug 2020; Online)
Machine learning
Deep Learning in Statistics
Joint Statistical Meetings, Portland, US (05 Aug 2024)
Introduction to Large Language Models
Joint Research Conference, University of Waterloo, Canada (17 July 2024)
Artificial Intelligence for Public Health (AI4PH): A Focus on Equity and Prevention Summer Institute
A summer Institute funded by the Canadian Institutes of Health Research, Canada (13 – 14 and 20 – 21 Jul 2021; Online)
Deep learning essentials
6th IVADO/MILA Deep Learning School, Canada ( 25 Mar – 29 Apr 2021; Online)
Statistical machine learning for biomedical data
University of Toronto, Canada (20 – 21 Aug 2020; Online)
Causal inference with machine learning
Causal Inference using Machine Learning (ML) Methods
A summer Institute funded by the Canadian Institutes of Health Research Artificial Intelligence for Public Health (AI4PH), University of Toronto, Canada (17 – 21 Jul, 2023)
Machine learning & nonparametric efficiency in causal inference
American Causal Inference Conference 2022, Berkeley, United States (23 May 2022; Online)
Machine Learning and Artificial Intelligence for Causal Inference and Prediction: A Primer
Society for Epidemiologic Research, United States (16 Aug 2021; Online)
Leveraging observational data with Machine Learning
Inria, National Research Institute in Digital Sciences and Technologies, France (23 – 24 Jun 2021; Online)
Introduction to causal inference with machine learning
6th Seattle Symposium in Biostatistics, USA (14-15 Nov 2020; Online)
Health administrative databases
Electronic Health Records Phenotyping
Statistical Society of Canada, Canada (5 June 2022; Online)
Analysis of Administrative Health Care Data
Centre for Health Evaluation and Outcome Sciences, University of British Columbia, Canada (8 Sep 2021)
Statistical methods for electronic health record data
6th Seattle Symposium in Biostatistics, USA (14 – 15 Nov 2020; Online)
Others
DHS eLearning Survey Sampling Training Course – Spring 2019
The Demographic and Health Surveys Program, USAID (29 Apr – 17 Jun 2019; Online)
DHS eLearning Survey Sampling Training Course – Summer 2018
The Demographic and Health Surveys Program, USAID (1 Jul – 30 Aug 2018; Online)
Statistical Data Analysis for Biological Science
Institute of Statistical Research and Training, University of Dhaka, Bangladesh (10 – 11 Sep 2015)