Shu Yang

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Causal inference with observational studies trimmed by the estimated propensity scores

P. Ding, Shu Yang, Peng Ding, 2017, 1704.00666.

Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores

P. Ding, Shu Yang, S. Yang, 2018 .

A semiparametric inference to regression analysis with missing covariates in survey data

Jae Kwang Kim, Shu Yang, 2017 .

Propensity Score Weighting for Causal Inference with Clustered Data

Shu Yang, 2017, Journal of Causal Inference.

SENSITIVITY ANALYSIS FOR UNMEASURED CONFOUNDING IN COARSE STRUCTURAL NESTED MEAN MODELS.

Shu Yang, J. Lok, 2018, Statistica Sinica.

Trials with Irregular and Informative Assessment Times: A Sensitivity Analysis Approach

D. Scharfstein, Shu Yang, A. Apter, 2022 .

Flexible Imputation of Missing Data, 2nd ed.

Shu Yang, 2019, Journal of the American Statistical Association.

A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PM2.5 USING NUMERICAL MODEL OUTPUT.

Shu Yang, B. Reich, A. Rappold, 2020, The annals of applied statistics.

Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework

Jae Kwang Kim, Shu Yang, 2019, Scandinavian journal of statistics, theory and applications.

Fractional imputation method in handling missing data and spatial statistics

Shu Yang, 2014 .

Doubly robust inference when combining probability and non‐probability samples with high dimensional data

Shu Yang, Rui Song, Jae Kwang Kim, 2019, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Propensity score weighting for causal inference with multi-stage clustered data

Shu Yang, 2016, 1607.07521.

Variance estimation and kriging prediction for a class of non-stationary spatial models

Shu Yang, Zhengyuan Zhu, Zhengyuan Zhu, 2014 .

When Doubly Robust Methods Meet Machine Learning for Estimating Treatment Effects from Real-World Data: A Comparative Study

Shu Yang, I. Lipkovich, Z. Kadziola, 2022, 2204.10969.

Generalized propensity score approach to causal inference with spatial interference

Shu Yang, B. Reich, A. Rappold, 2020, Biometrics.

Semiparametric estimation of spectral density function for irregular spatial data

Shu Yang, Zhengyuan Zhu, Zhengyuan Zhu, 2015, 1508.06886.

Identification and estimation of causal effects with confounders subject to instrumental missingness

P. Ding, Shu Yang, Linbo Wang, 2017 .

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

Shu Yang, Nathan Corder, 2019, Journal of Causal Inference.

Matrix Completion for Survey Data Prediction with Multivariate Missingness

Shu Yang, Xiaojun Mao, Zhonglei Wang, 2019, 1907.08360.

Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling

Jae Kwang Kim, Shu Yang, 2017, Advances in Econometrics.

Estimating spatially varying health effects in app-based citizen science research

Shu Yang, Brian J. Reich, Lili Wu, 2020 .

Causal inference methods for combining randomized trials and observational studies: a review

Shu Yang, Jean-Philippe Vert, Julie Josse, 2020, 2011.08047.

Soft calibration for selection bias problems under mixed-effects models

Jae Kwang Kim, Shu Yang, Chenyin Gao, 2022, 2206.01084.

When Doubly Robust Methods Meet Machine Learning for Estimating Treatment Effects from Real-World Data: A Comparative Study

Shu Yang, I. Lipkovich, Z. Kadziola, 2022, 2204.10969.

Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference

Shu Yang, Yichi Zhang, Dehan Kong, 2022, 2208.00872.

Utilizing stratified generalized propensity score matching to approximate blocked randomized designs with multiple treatment levels

Shu Yang, Nathan Corder, 2022, Journal of biopharmaceutical statistics.

Predictive mean matching imputation in survey sampling

Jae Kwang Kim, Shu Yang, 2017, 1703.10256.

Matching Estimators of Causal Effects in Clustered Observational Studies with Application to Quantifying the Impact of Marine Protected Areas on Biodiversity

Shu Yang, B. Reich, D. Gill, 2022, 2210.03890.

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population

Shu Yang, Dasom Lee, Xiaofei Wang, 2022, 2201.06595.

Transporting survival of an HIV clinical trial to the external target populations

Shu Yang, Sujit K. Ghosh, Dasom Lee, 2022, 2210.02571.

Spectral adjustment for spatial confounding.

Shu Yang, B. Reich, G. Page, 2020, Biometrika.

Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times

D. Scharfstein, Shu Yang, A. Apter, 2022, 2204.11979.

A Bayesian Semiparametric Method For Estimating Causal Quantile Effects

Steven G. Xu, Shu Yang, B. Reich, 2022, 2211.01591.

A Unified Framework for Causal Inference with Multiple Imputation Using Martingale

Shu Yang, Qian Guan, 2019 .

A Unified Inference Framework for Multiple Imputation Using Martingales

Shu Yang, Qian Guan, 2019, Statistica Sinica.

A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications

Shu Yang, Brian J Reich, Yawen Guan, 2020, International statistical review = Revue internationale de statistique.

Combining Multiple Observational Data Sources to Estimate Causal Effects

Shu Yang, Peng Ding, P. Ding, 2018, Journal of the American Statistical Association.

Propensity Score Modeling in Electronic Health Records with Time-to-Event Endpoints: Application to Kidney Transplantation

Jonathan W. Yu, Shu Yang, D. Bandyopadhyay, 2022, Journal of Data Science.

Causal inference methods for combining randomized trials and observational studies: a review

G. Varoquaux, Jean-Philippe Vert, Shu Yang, 2020, 2011.08047.

Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach

Shu Yang, Anastasios A Tsiatis, A. Tsiatis, 2018, Biometrics.

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

Yair Goldberg, Rui Song, Shu Yang, 2020, Statistics in medicine.

Causal inference with confounders missing not at random

P. Ding, Shu Yang, Linbo Wang, 2017, Biometrika.

Nonparametric Mass Imputation for Data Integration.

Shu Yang, Jae Kwang Kim, Shyh-Jye Chen, 2020, Journal of survey statistics and methodology.

Statistical data integration in survey sampling: a review

Shu Yang, Jae Kwang Kim, Shu Yang, 2020, Japanese Journal of Statistics and Data Science.

Integration of survey data and big observational data for finite population inference using mass imputation

Shu Yang, Jae Kwang Kim, Shu Yang, 2018, 1807.02817.

Imputation methods for quantile estimation under missing at random

Shu Yang, Jae Kwang Kim, Dong Wan Shin, 2013 .

Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies

Shu Yang, Lili Wu, 2022, CLeaR.

Causal inference of hazard ratio based on propensity score matching

Shu Yang, D. Faries, Z. Cui, 2019, 1911.12430.

Robust inference of conditional average treatment effects using dimension reduction.

Shu Yang, Ming-Yueh Huang, Shu Yang, 2020, Statistica Sinica.

Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing

Shu Yang, Kwun Chuen Gary Chan, Raymond K. W. Wong, 2021, 2103.03437.

Multiply robust estimation of causal effects under principal ignorability

P. Ding, Shu Yang, Zhichao Jiang, 2020, 2012.01615.

Approximate Bayesian inference under informative sampling

Shu Yang, Jae Kwang Kim, Shu Yang, 2018 .

Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation

Xiaofei Wang, Shu Yang, Donglin Zeng, 2020, 2005.10579.

Discussion of ”Dissecting multiple imputation from a multi-phase inference perspective: what happens when god’s, imputer’s and analyst’s models are uncongenial?”

Jae Kwang Kim, Shu Yang, 2017 .

Fractional Imputation in Survey Sampling: A Comparative Review

Jae Kwang Kim, Shu Yang, Shu Yang, 2015, 1508.06945.

Title Discussion: Dissecting Multiple Imputation from a Multi-phase Inference Perspective: What Happens When God's, Imputer's and Analyst's Models Are Uncongenial? Complete List of Authors Discussion: Dissecting Multiple Imputation from a Multi-phase Inference Perspective: What Happens When God's, I

Jae Kwang Kim, Shu Yang, 2016 .

Fractional hot deck imputation for robust inference under item nonresponse in survey sampling

Shu Yang, Jae Kwang Kim, Shu Yang, 2014 .

Improving trial generalizability using observational studies

Shu Yang, Donglin Zeng, Lin Dong, 2020, Biometrics.

Integrative analysis of randomized clinical trials with real world evidence studies

Xiaofei Wang, Donglin Zeng, Shu Yang, 2020 .

Propensity score matching and subclassification in observational studies with multi‐level treatments

Shu Yang, Zbigniew Kadziola, G. Imbens, 2015, Biometrics.

Pretest estimation in combining probability and non-probability samples

Shu Yang, Chenyin Gao, 2023, Electronic Journal of Statistics.

A note on multiple imputation for method of moments estimation

Shu Yang, Jae Kwang Kim, Shu Yang, 2015, 1508.06977.

Robust analyses for longitudinal clinical trials with missing and non-normal continuous outcomes

Shu Yang, G. Golm, Siyi Liu, 2022, 2203.10561.

Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling

Jae Kwang Kim, Shu Yang, K. J. Thompson, 2022, Journal of the Royal Statistical Society. Series A,.

Practical recommendations on double score matching for estimating causal effects

Shu Yang, I. Lipkovich, Z. Kadziola, 2021, Statistics in medicine.

Multiply robust estimators in longitudinal studies with missing data under control-based imputation

Shu Yang, Siyi Liu, Yilong Zhang, 2021, 2112.06000.

Sensitivity analyses in longitudinal clinical trials via distributional imputation

Shu Yang, Siyi Liu, G. Liu, 2022, Statistical methods in medical research.

SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale

Shu Yang, Guanghan Frank Liu, Yilong Zhang, 2020, Biometrics.

Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms

M. Hughes, Shu Yang, J. Lok, 2018, Lifetime Data Analysis.

Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations

Shu Yang, Shu Yang, 2018, Biometrics.

Nonparametric identification of causal effects with confounders subject to instrumental missingness

P. Ding, Shu Yang, Linbo Wang, 2017 .

Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data

Shu Yang, J. Josse, Pan Zhao, 2023, 2301.05491.

Likelihood‐based Inference with Missing Data Under Missing‐at‐Random

Jae Kwang Kim, Shu Yang, 2016 .

Propensity Score Weighting for Causal Inference with Clustered Data

Shu Yang, Yang Shu, 2018 .

Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding

D. Zeng, Shu Yang, Xiaofei Wang, 2020, 2007.12922.

Functional principal component analysis for longitudinal observations with sampling at random

Shu Yang, Peijun Sang, Dehan Kong, 2022, 2203.14760.

Identifiability of causal effects with multiple causes and a binary outcome.

Shu Yang, Linbo Wang, Dehan Kong, 2020, Biometrika.

Robust estimation for moment condition models with data missing not at random

Shu Yang, Peisong Han, Wei Li, 2020 .

Double score matching estimators of average and quantile treatment effects

Shu Yang, Yunshu Zhang, 2020, 2001.06049.

Multiple bias-calibration for adjusting selection bias of non-probability samples using data integration

Jae Kwang Kim, Shu Yang, Zhonglei Wang, 2023, 2307.11651.

Integrating Randomized Placebo-Controlled Trial Data with External Controls: A Semiparametric Approach with Selective Borrowing

Shu Yang, I. Lipkovich, D. Faries, 2023, 2306.16642.

Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data

Shu Yang, Lili Wu, Shu Yang, 2021, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator

Shu Yang, Lili Wu, Yuwen Cheng, 2023, UAI.

Targeted Optimal Treatment Regime Learning Using Summary Statistics

Shu Yang, Wenbin Lu, Jianing Chu, 2022, Biometrika.

Quadruply robust estimation of marginal structural models in observational studies subject to covariate-driven observations

Shu Yang, J. Coulombe, 2023, 2304.08987.

Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations

Shu Yang, 2021, Biometrics.

Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review

G. Varoquaux, Jean-Philippe Vert, Shu Yang, 2020, Statistical Science.

Multiply Robust Off-policy Evaluation and Learning under Truncation by Death

Shu Yang, Wenbin Lu, Jianing Chu, 2023, ICML.

Doubly robust inference when combining probability and non‐probability samples with high dimensional data

Jae Kwang Kim, Shu Yang, Rui Song, 2019, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Outcome-adjusted balance measure for generalized propensity score model selection

Shu Yang, Honghe Zhao, Shu Yang, 2021, Journal of Statistical Planning and Inference.

Semiparametric estimation of structural failure time models in continuous-time processes.

Shu Yang, Karen Pieper, Frank Cools, 2018, Biometrika.

Variable Selection for Doubly Robust Causal Inference

Shu Yang, Eunah Cho, 2023, 2301.11094.

Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms

Shu Yang, Judith J Lok, M. Hughes, 2017, Lifetime Data Analysis.