Peng Ding
Titolo
Citata da
Citata da
Anno
Sensitivity analysis in observational research: introducing the E-value
TJ VanderWeele, P Ding
Annals of Internal Medicine 167 (4), 268-274, 2017
10782017
Sensitivity analysis without assumptions
P Ding, TJ VanderWeele
Epidemiology (Cambridge, Mass.) 27 (3), 368, 2016
2602016
Web site and R package for computing E-values
MB Mathur, P Ding, CA Riddell, TJ VanderWeele
Epidemiology 29 (5), e45-e47, 2018
1212018
Randomization inference for treatment effect variation
P Ding, A Feller, L Miratrix
Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2014
822014
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
742017
A paradox from randomization-based causal inference
P Ding
Statistical Science, 2017
652017
Overlap in observational studies with high-dimensional covariates
A D’Amour, P Ding, A Feller, L Lei, J Sekhon
Journal of Econometrics, 2020
622020
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
622015
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
552016
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
522011
On the Conditional Distribution of the Multivariate t Distribution
P Ding
The American Statistician 70 (3), 293-295, 2016
482016
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
472018
Principal stratification analysis using principal scores
P Ding, J Lu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
432017
Causal inference: A missing data perspective
P Ding, F Li
Statistical Science 33 (2), 214-237, 2018
412018
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding
P Ding, TJ Vanderweele
Biometrika 103 (2), 483-490, 2016
342016
Decomposing treatment effect variation
P Ding, A Feller, L Miratrix
Journal of the American Statistical Association 114 (525), 304-317, 2019
312019
A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments
P Ding, T Dasgupta
Journal of the American Statistical Association 111 (513), 157-168, 2016
302016
Bayesian robust inference of sample selection using selection-t models
P Ding
Journal of Multivariate Analysis 124, 451-464, 2014
282014
Asymptotic causal inference with observational studies trimmed by the estimated propensity scores
S Yang, P Ding
Biometrika 105 (2), 487-493, 2018
24*2018
Instrumental variables as bias amplifiers with general outcome and confounding
P Ding, TJ Vanderweele, JM Robins
Biometrika 104 (2), 291-302, 2017
232017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20