4 papers
Distributional Balancing with Machine Learning for Clinical Trial Augmentation Using Real-World Data
Zern Ke, Mingshi Cui, Gemma Moran +1
In clinical trials, randomization of treatment and control groups is typically used to ensure the groups have similar covariate distributions on average, resulting in unbiased caus…
From Cumulative Weights to Marginal Density Ratios: Per-Protocol Estimation in Sequential Target Trial Emulation
Zern Ke, Mingshi Cui, Feng Dai +3
Sequential target trial emulation evaluates eligibility at multiple baseline times to emulate a sequence of randomized trials using observational data. Estimating per-protocol effe…
Stochastic weather generators for high-frequency wind vector time series
Mingshi Cui, Kevin Eng, Justin T. Greene +5
Surface winds can vary substantially from one minute to the next, so there is scope for studying its variation on this fine time scale. Restricting to the month of June to minimize…
A Multi-Objective Capacity-Constrained Optimization of Corn Planting Scheduling
Mingshi Cui, Kunting Qi, Byran Smucker +1
This article describes an improved set of solutions to the problems presented in the 2021 Syngenta Crop Challenge in Analytics \citep{Syngenta2021}. In particular, we use multiobje…