Publications (39)
Qualitative Evaluation of Associations by the Transitivity of the Association Signs
Zhichao Jiang, Peng Ding, Zhi Geng
A bracketing relationship between difference-in-differences and lagged-dependent-variable adjustment
Peng Ding, Fan Li
Robust Modeling Using Non-Elliptically Contoured Multivariate t Distributions
Zhichao Jiang, Peng Ding
Principal causal effect identification and surrogate endpoint evaluation by multiple trials
Zhichao Jiang, Peng Ding, Zhi Geng
Instrumental variables as bias amplifiers with general outcome and confounding
Peng Ding, Tyler VanderWeele, James Robins
Principal stratification analysis using principal scores
Peng Ding, Jiannan Lu
Rerandomization in $2^K$ Factorial Experiments
Xinran Li, Peng Ding, Donald B. Rubin
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes
Hua Chen, Peng Ding, Zhi Geng +1
The Directions of Selection Bias
Zhichao Jiang, Peng Ding
The Differential Geometry of Homogeneity Spaces Across Effect Scales
Peng Ding, Tyler J. VanderWeele
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding
Peng Ding, Tyler J. VanderWeele
Using Survival Information in Truncation by Death Problems Without the Monotonicity Assumption
Fan Yang, Peng Ding
Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds
Jiannan Lu, Peng Ding, Tirthankar Dasgupta
A paradox from randomization-based causal inference
Peng Ding
Measurement errors in the binary instrumental variable model
Zhichao Jiang, Peng Ding
Causal Inference: A Missing Data Perspective
Peng Ding, Fan Li
A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
Peng Ding, Tirthankar Dasgupta
Decomposing Treatment Effect Variation
Peng Ding, Avi Feller, Luke Miratrix
Exact confidence intervals for the average causal effect on a binary outcome
Xinran Li, Peng Ding
To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
Peng Ding, Luke Miratrix
General forms of finite population central limit theorems with applications to causal inference
Xinran Li, Peng Ding
Construction of alternative hypotheses for randomization tests with ordinal outcomes
Jiannan Lu, Peng Ding, Tirthankar Dasgupta
A Potential Tale of Two by Two Tables from Completely Randomized Experiments
Peng Ding, Tirthankar Dasgupta
Bayesian Robust Inference of Sample Selection Using Selection-t Models
Peng Ding
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Xinran Li, Peng Ding, Donald B. Rubin
Sensitivity Analysis Without Assumptions
Peng Ding, Tyler VanderWeele
Bridging Finite and Super Population Causal Inference
Peng Ding, Xinran Li, Luke W. Miratrix
Representation for the Gauss-Laplace Transmutation
Peng Ding, Joseph K. Blitzstein
Model-free causal inference of binary experimental data
Peng Ding, Luke W. Miratrix
Three Occurrences of the Hyperbolic-Secant Distribution
Peng Ding
Identifiability of Subgroup Causal Effects in Randomized Experiments with Nonignorable Missing Covariates
Peng Ding, Zhi Geng
Using Missing Types to Improve Partial Identification with Application to a Study of HIV Prevalence in Malawi
Zhichao Jiang, Peng Ding
Randomization-Based Causal Inference from Unbalanced 2^2 Split-Plot Designs
Anqi Zhao, Peng Ding, Tirthankar Dasgupta
Randomization Inference for Treatment Effect Variation
Peng Ding, Avi Feller, Luke Miratrix
Causal inference with confounders missing not at random
Shu Yang, Linbo Wang, Peng Ding
Generalized Cornfield conditions for the risk difference
Peng Ding, Tyler J. VanderWeele
On the Conditional Distribution of the Multivariate $t$ Distribution
Peng Ding
Identifiability of Normal and Normal Mixture Models With Nonignorable Missing Data
Wang Miao, Peng Ding, Zhi Geng
Randomization Inference for Peer Effects
Xinran Li, Peng Ding, Qian Lin +2