Peng Ding

发表

Combining Multiple Observational Data Sources to Estimate Causal Effects

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

Qualitative evaluation of associations and validation of surrogacy by association transitivity

Zhi Geng, Zhichao Jiang, Peng Ding, 2015 .

PRACTICES FOR DIGITAL ASIA: MACHINE TRANSLATION MEDIATED INTERACTIVITY IN MULTILINGUAL COLLABORATION AND INTERCULTURAL COMMUNICATION

Donghui Lin, Huanye Sheng, Peng Ding, 2004 .

Identifiability of subgroup causal effects in randomized experiments with nonignorable missing covariates.

Zhi Geng, Peng Ding, 2014, Statistics in medicine.

Overlap in observational studies with high-dimensional covariates

Alexander D'Amour, Avi Feller, Lihua Lei, 2017, Journal of Econometrics.

A Study of College Councelors' Recruitment Mode Based on the Reverse Engineering

Peng Ding, 2012 .

Causal Inference: A Missing Data Perspective

Fan Li, Peng Ding, Fan Li, 2017, 1712.06170.

[Development and preliminary application of orthodontic friction dynamic testing apparatus].

Peng Ding, Jiu-xiang Lin, Yan-heng Zhou, 2009, Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences.

Randomization Inference for Peer Effects

Jun S. Liu, Qian Lin, Jun S. Liu, 2018, Journal of the American Statistical Association.

Research on the Human Visual Indicators of Computer-Controlled Intelligence Acquisition System

Peng Ding, 2010 .

Randomization Tests for Peer Effects in Group Formation Experiments

Avi Feller, Panos Toulis, Guillaume Basse, 2019, Econometrica.

Using Missing Types to Improve Partial Identification with Missing Binary Outcomes

Zhichao Jiang, Peng Ding, 2016 .

Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds

Tirthankar Dasgupta, Jiannan Lu, Peng Ding, 2015, 1507.01542.

Anti-seismic Study on Different Embedment Options for Steel-lined Spiral Case in the Three Gorges Hydropower Plant

Peng Ding, 2012 .

Reconciling design-based and model-based causal inferences for split-plot experiments

Peng Ding, Anqi Zhao, Anqi Zhao, 2021, The Annals of Statistics.

Covariate adjustment in multi-armed, possibly factorial experiments

Peng Ding, Anqi Zhao, 2021 .

Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based properties

Peng Ding, Anqi Zhao, P. Ding, 2021, 2101.02400.

No star is good news: A unified look at rerandomization based on $p$-values from covariate balance tests

Peng Ding, Anqi Zhao, P. Ding, 2021, 2112.10545.

Estimation based on nearest neighbor matching: from density ratio to average treatment effect

Peng Ding, Zhexiao Lin, Fang Han, 2021 .

Power and Sample Size Calculations for Rerandomized Experiments

Zach Branson, Peng Ding, Xinran Li, 2022 .

Multi-Source Causal Inference Using Control Variates pdf

Peng Ding, Wenshuo Guo, Serena Wang, 2021, arXiv.org.

A causal fused lasso for interpretable heterogeneous treatment effects estimation

Oscar Hernan Madrid Padilla, Peng Ding, Yanzhen Chen, 2021 .

Covariate-adjusted Fisher randomization tests for the average treatment effect

Peng Ding, Anqi Zhao, P. Ding, 2020, Journal of Econometrics.

To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates

Peng Ding, Anqi Zhao, P. Ding, 2021, Journal of the American Statistical Association.

Robust Modeling Using Non-Elliptically Contoured Multivariate t Distributions

Zhichao Jiang, Peng Ding, 2016 .

Identifiability and Estimation of Causal Effects by Principal Stratification With Outcomes Truncated by Death

Zhi Geng, Xiao-Hua Zhou, Peng Ding, 2011 .

Principal causal effect identification and surrogate end point evaluation by multiple trials

Zhi Geng, Zhichao Jiang, Peng Ding, 2015, 1507.05935.

On the Conditional Distribution of the Multivariate t Distribution

Peng Ding, P. Ding, 2016, 1604.00561.

Three Occurrences of the Hyperbolic-Secant Distribution

Peng Ding, P. Ding, Peng Ding, 2014, 1401.1267.

A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments

Tirthankar Dasgupta, Peng Ding, P. Ding, 2015, 1501.02389.

Sensitivity Analysis Without Assumptions

Tyler J. VanderWeele, Peng Ding, T. VanderWeele, 2015, Epidemiology.

Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data

Zhi Geng, Wang Miao, Peng Ding, 2015, 1509.03860.

On the Gaussian Mixture Representation of the Laplace Distribution

Peng Ding, Joseph K. Blitzstein, 2018 .

Sharp Bounds of Causal Effects on Ordinal Outcomes

Tirthankar Dasgupta, Jiannan Lu, Peng Ding, 2015 .

Principal stratification analysis using principal scores

Jiannan Lu, Peng Ding, P. Ding, 2016, 1602.01196.

Asymptotic theory of rerandomization in treatment–control experiments

Donald B. Rubin, Peng Ding, Xinran Li, 2016, Proceedings of the National Academy of Sciences.

A Bracketing Relationship between Difference-in-Differences and Lagged-Dependent-Variable Adjustment

Fan Li, Peng Ding, Fan Li, 2019, Political Analysis.

Sensitivity Analysis in Observational Research: Introducing the E-Value

Tyler J. VanderWeele, Peng Ding, T. VanderWeele, 2017, Annals of Internal Medicine.

Randomization Tests for Weak Null Hypotheses in Randomized Experiments

Peng Ding, P. Ding, Jason Wu, 2018, Journal of the American Statistical Association.