ZHICHAO JIANG
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Published papers

​18. Jiang, Z. and Ding, P. (accepted) Identification of Causal Effects Within Principal Strata Using Auxiliary Variables. Statistical Science [arXiv]

17. Imai, K., Jiang, Z. and Malani, A. (accepted) Causal inference with interfe​rence and noncompliance in the two-stage randomized experiments. Journal of the American Statistical Association [link]

16. Imai, K. and Jiang, Z. (2020)  Identification and sensitivity analysis of contagious effect with placebo-controlled randomized experiments. Journal of the Royal Statistical Society: Series A (Statistics in Society) [link][preprint]

15. Jiang, Z. and Ding, P. (2020) Measurement errors in the binary instrumental variable model. Biometrika  [link][arXiv]

14. Jiang, Z. and VanderWeele, T. J. (2019) Causal mediation analysis in the presence of a misclassified binary exposure. Epidemiologic Methods

13. Imai, K., & Jiang, Z. (2019). Comment: The Challenges of Multiple Causes. Journal of the American Statistical Association [link][arXiv]

​12. Imai, K. and Jiang, Z. (2018) A sensitivity analysis for missing outcomes due to truncation-by-death under the matched-pairs design.  Statistics in Medicine [link][preprint]

11. Jiang, Z. and Ding, P. (2018) Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi. Annals of Applied Statistics [link][arXiv]

10. Li, W., Jiang, Z., Geng, Z. and Zhou, XH. (2018) Identification of causal effects in the presence of measurement error and latent confounding.  Biometrical Journal [link]


9. Jiang, Z. and Ding, P. (2017) The Directions of Selection Bias. Statistics and Probability Letters [link][arXiv]

8. Jiang, Z. and Ding, P. (2016) Robust modeling using non-elliptically contoured multivariate t distributions. Journal of Statistical Planning and Inference [link]

7. Jiang, Z., Ding, P. and Geng, Z. (2016) Principal causal effect identification and surrogate endpoint evaluation by multiple trials. Journal of the Royal Statistical Society: Series B (Statistical Methodology) [link] [arXiv]

6. Jiang, Z. and VanderWeele, T. J. (2015) When is the difference method conservative for mediation? (With discussion) American Journal of Epidemiology [link]

5. Jiang, Z., Ding, P. and Geng, Z. (2015) Qualitative evaluation of associations by the transitivity of the association signs. Statistica Sinica [link]

​4. Jiang, Z. and VanderWeele, T. J. (2015) Causal mediation analysis in the presence of a mismeasured outcome. Epidemiology [link]

3. VanderWeele, T. J., Jiang, Z. and Chiba, Y. (2014) Monotone confounding, monotone treatment selection, and monotone treatment response. Journal of Causal Inference [link]

2. Jiang, Z., VanderWeele T. J. (2014) Additive interaction in the presence of a mismeasured outcome. American Journal of Epidemiology [link]

1. Liu, H., Jiang, Z., Fang, X., Fu, H., Zheng, X., Cha, L. and Li, W. (2012) Generate gene expression profile from high-throughput sequencing data. Frontiers of Mathematics in China [link]


















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