61 citations · 253 across the 29 of their papers we have counts for
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stat.ME2023
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce, Carlos Patino +1
Large-scale datasets are increasingly being used to inform decision making. While this effort aims to ground policy in real-world evidence, challenges have arisen as selection bias…
stat.ME2020
Tracking disease outbreaks from sparse data with Bayesian inference
Bryan Wilder, Michael J. Mina, Milind Tambe
The COVID-19 pandemic provides new motivation for a classic problem in epidemiology: estimating the empirical rate of transmission during an outbreak (formally, the time-varying re…