Peng Ding - Concepedia

Author

Peng Ding

University of California, Berkeley ORCID

Also Known As

Ballerini, Veronica, Chen, Yanzhen, Ding, Peng, Ding, Peng (UC Berkeley), Fang, Yixin, P Ding, P. Ding, PENG DING, Peng Ding, peng ding

217

Publications

8.4K

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Harvard University Peking University Duke University North Carolina State University

About

Peng Ding is an author at University of California, Berkeley specializing in statistics, statistical inference, and public health.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	334
2	Business	8	8	289
3	Management	3	3	46
4	Health Sciences	1	1	19
5	Law	1	1	15

Peng Ding

Publications

8.1K

Citations

H-Index

Page 1

	Year	Citations
Sensitivity Analysis in Observational Research: Introducing the E-Value Tyler J. VanderWeele, Peng Ding Annals of Internal Medicine	2017	5.2K
Web Site and R Package for Computing E-values Maya B. Mathur, Peng Ding, Corinne A. Riddell, Epidemiology	2018	692
General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference Xinran Li, Peng Ding Journal of the American Statistical Association	2017	177
Randomization Inference for Treatment Effect Variation Peng Ding, Avi Feller, Luke Miratrix Journal of the Royal Statistical Society Series B (Statistical Methodology) Treatment EffectsRandomization InferenceSelection BiasField ExperimentTreatment Effect	2015	117
Causal Inference: A Missing Data Perspective Peng Ding, Fan Li Statistical Science Quantitative MethodsTreatment EffectPopulation Health SciencesCausal EffectsCausal Inference	2018	117
Principal Stratification Analysis Using Principal Scores Peng Ding, Jiannan Lu Journal of the Royal Statistical Society Series B (Statistical Methodology) Causal ModelSelection BiasPrincipal Stratification FrameworkSummary PractitionersIntermediate Variable	2016	112
Causal Inference Kun Kuang, Lian Li, Zhi Geng, Engineering	2020	111
Overlap in observational studies with high-dimensional covariates Alexander D’Amour, Peng Ding, Avi Feller, Journal of Econometrics Covariate OverlapTreatment EffectCausal InferenceHigh-dimensional CovariatesPublic Health	2020	109
Asymptotic theory of rerandomization in treatment–control experiments Xinran Li, Peng Ding, Donald B. Rubin Proceedings of the National Academy of Sciences	2018	98
Rerandomization and Regression Adjustment Xinran Li, Peng Ding Journal of the Royal Statistical Society Series B (Statistical Methodology) Summary RandomizationComplete RandomizationRandomization Inference FrameworkEstimation StatisticTreatment Effect	2019	83

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