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20192025
most citedA Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism

4 citations · 5 across the 6 of their papers we have counts for

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6 papers · 1 filter

stat.ME2025

Complier General Causal Effect in Randomized Controlled Trials with One-Sided Noncompliance

Yin Tang, Yanyuan Ma, Jiwei Zhao

A randomized controlled trial (RCT) is widely regarded as the gold standard for assessing the causal effect of a treatment or intervention, assuming perfect implementation. In prac…

stat.ME2025

Efficient Inference under Label Shift in Unsupervised Domain Adaptation

Seong-ho Lee, Yanyuan Ma, Jiwei Zhao

In many real-world applications, researchers aim to deploy models trained in a source domain to a target domain, where obtaining labeled data is often expensive, time-consuming, or…

stat.ME2025

Borrowing Information from an Unidentifiable Model: Guaranteed Efficiency Gain with a Dichotomized Outcome in the External Data

Lu Wang, Yanyuan Ma, Jiwei Zhao

In the era of big data, the increasing availability of diverse data sources has driven interest in analytical approaches that integrate information across sources to enhance statis…

stat.ME2023

Doubly Flexible Estimation under Label Shift

Seong-ho Lee, Yanyuan Ma, Jiwei Zhao

In studies ranging from clinical medicine to policy research, complete data are usually available from a population , but the quantity of interest is often sought for…

stat.ME2021★ 1 cited

Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model

Samidha Shetty, Yanyuan Ma, Jiwei Zhao

We study the problem of estimating a functional or a parameter in the context where outcome is subject to nonignorable missingness. We completely avoid modeling the regression rela…

stat.ME2019★ 4 cited

A Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism

Jiwei Zhao, Yanyuan Ma

We consider the estimation problem in a regression setting where the outcome variable is subject to nonignorable missingness and identifiability is ensured by the shadow variable a…