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Peng Ding

  1. Sensitivity Analysis in Observational Research: Introducing the E-Value
    2017/07/10 by Tyler J. VanderWeele, Peng Ding · 146 citations
    Mathematics · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Health Systems, Economic Evaluations, Quality of Life
  2. A First Course in Causal Inference
    2023/05/30 by Peng Ding, Ding, Peng · 7 voices · 7 citations
    Mathematics · #Statistics Education and Methodologies
  3. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
    2023/11/14 by Peng Ding, Ding, Peng, Kuang, Jun +10 · 60 citations
    Social Sciences · #Computational and Text Analysis Methods #Crime Patterns and Interventions
  4. Sensitivity Analysis Without Assumptions
    2016/02/03 by Peng Ding, Tyler J. VanderWeele · 18 citations
    Mathematics · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Health Systems, Economic Evaluations, Quality of Life
  5. Bayesian Causal Inference: A Critical Review
    2022/06/30 by Fan Li, Li, Fan, Peng Ding +3 · 1 voice · 15 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #stat.AP #stat.ME
  6. Overlap in Observational Studies with High-Dimensional Covariates
    2017/11/07 by Alexander D’Amour, Peng Ding, D'Amour, Alexander +7 · 13 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  7. Sensitivity Analysis Without Assumptions
    2015/07/14 by Peng Ding, Ding, Peng, Tyler J. VanderWeele +1 · 9 citations
    Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Health Systems, Economic Evaluations, Quality of Life #Statistical Methods and Inference #Statistics Theory (math.ST)
  8. Causal inference with confounders missing not at random
    2019/08/19 by S Yang, Shu Yang, Lily Wang +3 · 9 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  9. Rerandomization and Regression Adjustment
    2019/06/26 by Xinran Li, Peng Ding, Li, Xinran +1 · 7 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  10. General forms of finite population central limit theorems with applications to causal inference
    2016/10/16 by Xinran Li, Li, Xinran, Peng Ding +1 · 5 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Statistical Methods and Bayesian Inference
  11. Causal Inference: A Missing Data Perspective
    2017/12/17 by Peng Ding, Ding, Peng, Fan Li +1 · 6 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  12. Instrumental variables as bias amplifiers with general outcome and confounding
    2017/02/15 by P. Ding, Peng Ding, Tyler J. VanderWeele +3 · 27 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  13. Causal Inference: A Missing Data Perspective
    2018/05/01 by Peng Ding, Fan Li · 5 citations
  14. Asymptotic Theory of Rerandomization in Treatment-Control Experiments
    2016/04/03 by Xinran Li, Li, Xinran, Peng Ding +3 · 4 citations
    Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  15. To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
    2014/08/02 by Peng Ding, Luke Miratrix, Ding, Peng +1 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  16. Decomposing Treatment Effect Variation
    2016/05/21 by Peng Ding, Ding, Peng, Avi Feller +3 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials
  17. Linear Model and Extensions
    2024/01/01 by Peng Ding, Ding, Peng · 4 voices · 1 citation
    Computer Science · #Data Analysis with R
  18. To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
    2021/07/31 by Anqi Zhao, Zhao, Anqi, Peng Ding +1 · 4 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  19. Combining multiple observational data sources to estimate causal effects
    2018/01/02 by Shu Yang, Yang, Shu, Peng Ding +1 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  20. Covariate adjustment in randomized experiments with missing outcomes and covariates
    2023/11/17 by Anqi Zhao, Peng Ding, Zhao, Anqi +3 · 5 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  21. Reconciling design-based and model-based causal inferences for\n split-plot experiments
    2021/05/03 by Anqi Zhao, Zhao, Anqi, Peng Ding +1 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials
  22. Randomization Inference for Peer Effects
    2018/07/04 by Xinran Li, Li, Xinran, Peng Ding +7 · 2 citations
    Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #Higher Education Research Studies #Methodology (stat.ME) #School Choice and Performance
  23. Rerandomization in 2K Factorial Experiments
    2018/12/28 by Xinran Li, Li, Xinran, Peng Ding +3 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  24. A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
    2016/08/05 by Peng Ding, Tirthankar Dasgupta, Ding, Peng +1 · 2 citations
    Mathematics · #Statistical Methods in Clinical Trials #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  25. Principal causal effect identification and surrogate endpoint evaluation by multiple trials
    2015/07/21 by Zhichao Jiang, Jiang, Zhichao, Peng Ding +3 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  26. Multi-Source Causal Inference Using Control Variates
    2021/03/30 by Wenshuo Guo, Serena Wang, Guo, Wenshuo +7 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  27. Assessing causal effects in the presence of treatment switching through principal stratification
    2020/02/27 by Alessandra Mattei, Peng Ding, Mattei, Alessandra +4 · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
  28. Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes
    2024/11/02 by Chao Zhang, Zhang, Chao, Zhi Geng +6 · 1 voice · 2 citations
    Decision Sciences · #Forecasting Techniques and Applications
  29. Randomization tests for peer effects in group formation experiments
    2019/04/04 by Guillaume Basse, Basse, Guillaume, Peng Ding +5 · 1 citation
    Mathematics · Computer Science · Economics, Econometrics and Finance · #Survey Sampling and Estimation Techniques #Mobile Crowdsensing and Crowdsourcing #Economic and Environmental Valuation
  30. Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
    2020/08/06 by Zhichao Jiang, Peng Ding, Jiang, Zhichao +1 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  31. MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
    2024/03/29 by Peng Ding, Ding, Peng, Jiading Fang +15 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  32. Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based properties
    2021/01/07 by Anqi Zhao, Zhao, Anqi, Peng Ding +1 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  33. Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds
    2015/07/06 by Jiannan Lu, Lu, Jiannan, Peng Ding +3 · 1 citation
    Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #School Choice and Performance
  34. Investigation of the effects of surface wettability and surface roughness on nanoscale boiling process using molecular dynamics simulation
    2021/08/09 by Huaqiang Liu, Wei Deng, Peng Ding +1 · 1 citation
    Engineering · #Fluid Dynamics and Heat Transfer #Heat Transfer and Boiling Studies #Nanomaterials and Printing Technologies
  35. When is the estimated propensity score better? High-dimensional analysis and bias correction
    2023/03/30 by Fangzhou Su, Wenlong Mou, Su, Fangzhou +5 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  36. Entropy-Reinforced Planning with Large Language Models for Drug Discovery
    2024/06/11 by Xuefeng Liu, Chih-chan Tien, Liu, Xuefeng +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM)
  37. Randomization-Based Causal Inference from Unbalanced 22 Split-Plot Designs
    2016/02/11 by Anqi Zhao, Zhao, Anqi, Peng Ding +3 · 1 citation
    Decision Sciences · Mathematics · #Optimal Experimental Design Methods #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials
  38. Rational design and in-situ construction of nanostructured Ni-Co compounds plasma-assisted on interconnected CNFs-rGO for an ultra-long cycle stability
    2026/07/24 by Peng Ding, Y Y Zhang, Yufeng Zhang +11
    Materials Science · Engineering · Energy · #Supercapacitor Materials and Fabrication #Advancements in Battery Materials #Electrocatalysts for Energy Conversion