Peng Ding
43 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-2704-2353
Department of Statistics, University of California , Berkeley, CA 94720 , USA
Publications
- Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
- Balancing Weights for Causal Inference in Observational Factorial Studies — Journal of the American Statistical Association 2026
- Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes — The Annals of Statistics 2026
- Mediation Analysis with the Mediator and Outcome Missing Not at Random — Journal of the American Statistical Association 2025
- Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes — Biometrika 2025
- Forward selection and post-selection inference in factorial designs — The Annals of Statistics 2025
- With random regressors, least squares inference is robust to correlated errors with unknown correlation structure — Biometrika 2025
- Two-phase rejective sampling and its asymptotic properties — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Power and sample size calculations for rerandomization — Biometrika 2024
- Covariate adjustment in randomized experiments with missing outcomes and covariates — Biometrika 2024
- Randomization Tests for Peer Effects in Group Formation Experiments — Econometrica 2024
- To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates — Journal of the American Statistical Association 2024
- An instrumental variable method for point processes: generalized Wald estimation based on deconvolution — Biometrika 2023
- Covariate adjustment in multiarmed, possibly factorial experiments — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Estimation Based on Nearest Neighbor Matching: From Density Ratio to Average Treatment Effect — Econometrica 2023
- Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data — Econometrica 2023
- Design-based theory for cluster rerandomization — Biometrika 2023
- Reconciling design-based and model-based causal inferences for split-plot experiments — The Annals of Statistics 2022
- Multiply robust estimation of causal effects under principal ignorability — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Peng Ding’s contribution to the Discussion of ‘Assumption-lean inference for generalised linear model parameters’ by Vansteelandt and Dukes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties — Biometrika 2022
- Model-assisted analyses of cluster-randomized experiments — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
- Randomization Tests for Weak Null Hypotheses in Randomized Experiments — Journal of the American Statistical Association 2021
- Regression adjustment in completely randomized experiments with a diverging number of covariates — Biometrika 2021
- Combining Multiple Observational Data Sources to Estimate Causal Effects — Journal of the American Statistical Association 2020
- Rerandomization and regression adjustment — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Measurement errors in the binary instrumental variable model — Biometrika 2020
- Rerandomization in $2^{K}$ factorial experiments — The Annals of Statistics 2020
- Causal inference with confounders missing not at random — Biometrika 2019
- Decomposing Treatment Effect Variation — Journal of the American Statistical Association 2019
- Randomization Inference for Peer Effects — Journal of the American Statistical Association 2019
- Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores — Biometrika 2018
- Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi — The Annals of Applied Statistics 2018
- Principal ignorability in mediation analysis: through and beyond sequential ignorability — Biometrika 2018
- Principal stratification analysis using principal scores — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
- General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference — Journal of the American Statistical Association 2017
- Randomization inference for treatment effect variation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
- Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding — Biometrika 2016
- Principal causal effect identification and surrogate end point evaluation by multiple trials — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
- Identifiability and Estimation of Causal Effects by Principal Stratification With Outcomes Truncated by Death — Journal of the American Statistical Association 2011
- Factorial Difference-in-Differences* — Journal of the American Statistical Association
- Identification and multiply robust estimation of causal effects via instrumental variables from an auxiliary population — Journal of the American Statistical Association
- Quantifying individual risk for binary outcomes — Journal of the Royal Statistical Society: Series B (Statistical Methodology)