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20152026
most citedPropensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments

131 citations · 352 across the 94 of their papers we have counts for

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Showing 2024 · stat.MEShow all

10 papers · 2 filters

stat.ME2024

Spatial causal inference in the presence of preferential sampling to study the impacts of marine protected areas

Dongjae Son, Brian J. Reich, Erin M. Schliep +2

Marine Protected Areas (MPAs) have been established globally to conserve marine resources. Given their maintenance costs and impact on commercial fishing, it is critical to evaluat…

stat.ME2024

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials

Chenyin Gao, Shu Yang, Mingyang Shan +3

Censored survival data are common in clinical trials, but small control groups can pose challenges, particularly in rare diseases or where balanced randomization is impractical. Re…

stat.ME2024

Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing

Ke Zhu, Shu Yang, Xiaofei Wang

External controls from historical trials or observational data can augment randomized controlled trials when large-scale randomization is impractical or unethical, such as in drug…

stat.ME2024

Off-Policy Evaluation with Irregularly-Spaced, Outcome-Dependent Observation Times

Xin Chen, Wenbin Lu, Shu Yang +1

While the classic off-policy evaluation (OPE) literature commonly assumes decision time points to be evenly spaced for simplicity, in many real-world scenarios, such as those invol…

stat.ME2024

Improve Sensitivity Analysis Synthesizing Randomized Clinical Trials With Limited Overlap

Kuan Jiang, Wenjie Hu, Shu Yang +2

Randomized clinical trials are the gold standard when estimating the average treatment effect. However, they are usually not a random sample from the real-world population because…

stat.ME2024

Bayesian Structured Mediation Analysis With Unobserved Confounders

Yuliang Xu, Shu Yang, Jian Kang

We explore methods to reduce the impact of unobserved confounders on the causal mediation analysis of high-dimensional mediators with spatially smooth structures, such as brain ima…

stat.ME2024

Inference for Optimal Linear Treatment Regimes in Personalized Decision-making

Yuwen Cheng, Shu Yang

Personalized decision-making, tailored to individual characteristics, is gaining significant attention. The optimal treatment regime aims to provide the best-expected outcome in th…

stat.ME2024

Two-phase rejective sampling and its asymptotic properties

Shu Yang, Peng Ding

Rejective sampling improves design and estimation efficiency of single-phase sampling when auxiliary information in a finite population is available. When such auxiliary informatio…

stat.ME2024

Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness

Xiaojun Mao, Hengfang Wang, Zhonglei Wang +1

Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe ma…

stat.ME2024★ 1 cited

Continuous-time structural failure time model for intermittent treatment

Guanbo Wang, Siyi Liu, Shu Yang

The intermittent intake of treatment is commonly seen in patients with chronic disease. For example, patients with atrial fibrillation may need to discontinue the oral anticoagulan…