Alind Gupta
Adjunct Lecturer, Division of Epidemiology
Dalla Lana School of Public Health, University of Toronto
I am a consultant and researcher specializing in data science aimed at improving health outcomes and facilitating decision making. I work primarily with pharma companies, biotechs and public agencies globally.
My research interests and expertise are in:
- Applied methods for causal inference & bias
- Prospective & retrospective observational study design
- Generalizability & transportability
- Treatment policy optimization
- Machine learning
- Public health in low- and middle-income countries
news
May 07, 2024 | Workshop on transportability was accepted at ICPE 2024 in Berlin |
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Feb 06, 2023 | Our workshop abstract on target trial emulation with Stephen Duffield (National Institute for Health and Care Excellence), Joy Shi (Harvard/CAUSALab) and Kristian Thorlund (McMaster) accepted at ISPOR 2023 |
Jul 20, 2022 | Our paper on quantitative bias analysis was cited by NICE’s real-world evidence framework as a case study! |
selected publications
- Assessment of alectinib vs ceritinib in ALK-positive non-small cell lung cancer in phase 2 trials and in real-world dataJAMA Network Open, 2021
- Transportability of overall survival estimates from US to Canadian patients with advanced non-small cell lung cancer with implications for regulatory and health technology assessmentJAMA Network Open, 2022