1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2023
A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes
Lauren E Dang, Edwin Fong, Jens Magelund Tarp +6
Introduction: Increasing interest in real-world evidence has fueled the development of study designs incorporating real-world data (RWD). Using the Causal Roadmap, we specify three…
cs.LG2023
Martingale Posterior Neural Processes
Hyungi Lee, Eunggu Yun, Giung Nam +2
A Neural Process (NP) estimates a stochastic process implicitly defined with neural networks given a stream of data, rather than pre-specifying priors already known, such as Gaussi…
stat.ME2022★ 1 cited
Causal predictive inference and target trial emulation
Andrew Yiu, Edwin Fong, Stephen Walker +1
Causal inference from observational data can be viewed as a missing data problem arising from a hypothetical population-scale randomized trial matched to the observational study. T…