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Peng Ding
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Sensitivity analysis in observational research: introducing the E-value
TJ VanderWeele, P Ding
Annals of Internal Medicine 167 (4), 268-274, 2017
23562017
Sensitivity analysis without assumptions
P Ding, TJ VanderWeele
Epidemiology (Cambridge, Mass.) 27 (3), 368, 2016
4212016
Web site and R package for computing E-values
MB Mathur, P Ding, CA Riddell, TJ VanderWeele
Epidemiology 29 (5), e45-e47, 2018
3472018
Overlap in observational studies with high-dimensional covariates
A D’Amour, P Ding, A Feller, L Lei, J Sekhon
Journal of Econometrics 221 (2), 644-654, 2021
1382021
General forms of finite population central limit theorems with applications to causal inference
X Li, P Ding
Journal of the American Statistical Association 112 (520), 1759-1769, 2017
1302017
Randomization inference for treatment effect variation
P Ding, A Feller, L Miratrix
Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2014
1222014
To adjust or not to adjust? Sensitivity analysis of M-bias and butterfly-bias
P Ding, LW Miratrix
Journal of Causal Inference 3 (1), 41-57, 2015
902015
Asymptotic theory of rerandomization in treatment–control experiments
X Li, P Ding, DB Rubin
Proceedings of the National Academy of Sciences 115 (37), 9157-9162, 2018
862018
Causal Inference: A Missing Data Perspective
P Ding, F Li
Statistical Science 33 (2), 214-237, 2018
852018
Identifiability of normal and normal mixture models with nonignorable missing data
W Miao, P Ding, Z Geng
Journal of the American Statistical Association 111 (516), 1673-1683, 2016
822016
A paradox from randomization-based causal inference
P Ding
Statistical Science, 2017
802017
On the Conditional Distribution of the Multivariate t Distribution
P Ding
The American Statistician 70 (3), 293-295, 2016
762016
Principal stratification analysis using principal scores
P Ding, J Lu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
722017
Technical Considerations in the Use of the E-Value
TJ VanderWeele, P Ding, M Mathur
Journal of Causal Inference 7 (2), 2019
682019
Identifiability and estimation of causal effects by principal stratification with outcomes truncated by death
P Ding, Z Geng, W Yan, XH Zhou
Journal of the American Statistical Association 106 (496), 2011
672011
Decomposing treatment effect variation
P Ding, A Feller, L Miratrix
Journal of the American Statistical Association 114 (525), 304-317, 2019
622019
Asymptotic causal inference with observational studies trimmed by the estimated propensity scores
S Yang, P Ding
Biometrika 105 (2), 487-493, 2018
53*2018
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding
P Ding, TJ Vanderweele
Biometrika 103 (2), 483-490, 2016
532016
Rerandomization and regression adjustment
X Li, P Ding
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020
522020
A bracketing relationship between difference-in-differences and lagged-dependent-variable adjustment
P Ding, F Li
Political Analysis 27 (4), 605-615, 2019
512019
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Articles 1–20