Publications

Filter by type:

. Non-parametric efficient estimation of marginal structural models with continuous time-varying treatments. Biometrika, 2026.

PDF arXiv

. Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference. Under review, 2026.

Code arXiv

. Causal Survival Analysis in Platform Trials with Non-Concurrent Controls. Under review, 2026.

arXiv

. DeDPO: Debiased Direct Preference Optimization for Diffusion Models. Work in progress, 2026.

arXiv

. Modern causal inference approaches to improve power for subgroup analysis in randomized controlled trials. Statistics in Medicine, 2026.

PDF arXiv

. Clarifying identification and estimation of treatment effects in the Sequential Parallel Comparison Design. Under Review, 2025.

arXiv

. Identification and estimation of causal effects using non-concurrent controls in platform trials. Statistics in Medicine, 2025.

PDF arXiv

. Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. NeurIPS 2024, 2024.

arXiv

. A fast bootstrap algorithm for causal inference with large data. Statistics in Medicine, 2024.

Preprint PDF Code arXiv

. Mambamixer: Efficient selective state space models with dual token and channel selection. Work in progress, 2024.

arXiv

. Stable estimation of survival causal effects. Work in progress, 2023.

arXiv

. Robust weights that optimally balance confounders for estimating marginal hazard ratios. SMMR, 2023.

PDF Code Dataset arXiv

. Optimal Weighting for Estimating Generalized Average Treatment Effects. Journal of Causal Inference, 2022.

PDF arXiv

. Optimal balancing of time-dependent confounders for marginal structural models. Journal of Causal Inference, 2021.

Preprint Journal of Causal Inference

. Prevention of Covid-19 with the BNT162b2 and mRNA-1273 Vaccines. The New England Journal of Medicine, 2021.

NEJM

. Deep survival analysis with longitudinal X-rays for COVID-19. ICCV21, 2021.

PDF arXiv

. More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions. Statistics in Medicine, 2021.

Preprint PDF arXiv

. Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments. Work in Progress, 2019.

PDF

. Conditional life expectancy estimation by ordered fractions of population with censored data. Work in Progress, 2019.

PDF

. CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning. Accepted at NeurIPS 2018 Workshop on Causal Learning and ICML 2019, 2019.

PDF arXiv

. Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models. In Statistics in Medicine, 2018.

PDF Statistics in Medicine

. Optimal probability weights for inference with constrained precision. In JASA, 2018.

PDF JASA