Research

Papers

• Jinghao Sun, Eric J. Tchetgen Tchetgen. (2025) On a debiased and semiparametric efficient changes-in-changes estimator. (Under Revision).

• Jinghao Sun, Douglas E. Schaubel, Eric J. Tchetgen Tchetgen. (2025) Beyond fixed restriction time: Adaptive restricted mean survival time methods in clinical trials. (Under Revision).

• Jinghao Sun, Forrest W. Crawford. (2024) Causal identification for continuous-time stochastic processes. (Under Revision).
  • Best Student Paper Award, Lifetime Data Science Conference, 2023.
  • Tyroler Student Prize Paper Award Finalist (Top 5), Society for Epidemiologic Research, 2023.
  • Travel Scholarship, Society for Epidemiologic Research, 2023.

• Jinghao Sun, Forrest W. Crawford. (2023) The role of discretization scales in causal inference with continuous-time treatment. (Submitted).

• Jinghao Sun, Luk Van Baelen, Els Plettinckx, Forrest W. Crawford. (2023) Partial identification and dependence-robust confidence intervals for capture-recapture surveys. Journal of Survey Statistics and Methodology, 11(5): 1133–1154.
  

• Wenran Li, Meng Wang, Jinghao Sun, Yong Wang, Rui Jiang. (2017) Gene co-opening network deciphers gene functional relationships. Molecular BioSystems, 13(11), 2428-2439.

• Jinghao Sun. (2017) Neural Architecture for Biomedical Named Entity Recognition. Undergraduate thesis.

Software

• AdaRMST: R package to implement a set of novel adaptive restricted mean survival time methods for clinical trials, especially under non-proportional hazards.
• crc.partialid: R package on partial identification analysis for capture-recapture experiments.

Presentation

• Joint Statistical Meetings (2025, Nashville, TN), Contributed Talk. Efficient and Neyman-Orthogonal Changes-in-Changes Estimators for Causal Inference in Panel Data.

• DBEI Research Day (2025, Philadelphia, PA), Contributed Poster. Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods for Non-Proportional Hazards in Clinical Trials.

• Joint Statistical Meetings (2024, Portland, OR), Invited Talk. Capture-recapture surveys: sample dependence, partial identification, and robust confidence intervals.

• New England Statistics Symposium (2023, Boston, MA), Invited Talk. Causal identification for continuous-time stochastic processes.

• Lifetime Data Science Conference (2023, Raleigh, NC), Invited Talk. Causal identification for continuous-time stochastic processes.

• ENAR (2023, Nashville, TN), Invited Talk. Causal identification for general continuous-time stochastic processes.

• Joint Statistical Meetings (2022, Washington, DC), Contributed Talk. Identification for treatment effects of general continuous-time stochastic processes.

• American Causal Inference Conference (2022, UC Berkeley, CA), Contributed Poster. The role of discretization scales in causal inference with longitudinal treatments.

• New England Statistics Symposium (2021, Providence, RI), Invited Talk. Partial identification and dependence-robust confidence intervals for capture-recapture surveys.

• Joint Statistical Meetings (2021, Virtual), Speed Presentation. Discretization bias in causal inference with trajectory data.

• Joint Statistical Meetings (2020, Virtual), Invited Poster.Partial identification in capture-recapture experiments.