- Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments

Jiang, Z., Imai, K.

*Biometrics*, accepted, 2022 [ArXiv] - Principal Fairness for Human and Algorithmic Decision-Making

Imai, K., Jiang, Z.

*Statistical Science*, accepted, 2022 [ArXiv] - Multiply robust estimation of causal effects under principal ignorability

Jiang, Z., Yang, S. and Ding, P.

*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, 84, 1423--1445, 2022 [DOI] - Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment (with discussion)

Imai, K., Jiang, Z., Greiner, J., Halen, R. and Shin, S.

*Journal of the Royal Statistical Society: Series A (Statistics in Society)*, accepted, 2021 [arXiv] - Identification of causal effects within principal strata using auxiliary variables

Jiang, Z. and Ding, P.

*Statistical Science*, 36, 493-508, 2021 [arXiv] - Causal inference with interference and noncompliance in the two-stage randomized experiments

Imai, K., Jiang, Z.^{*}and Malani, A.

*Journal of the American Statistical Association*, 116, 632-644, 2021 [DOI] - Measurement errors in the binary instrumental variable model

Jiang, Z. and Ding, P.

*Biometrika*, 107, 238-245, 2020 [DOI] - Identification and sensitivity analysis of contagion effects with randomized placebo-controlled trials

Imai, K. and Jiang, Z.^{*}

*Journal of the Royal Statistical Society: Series A (Statistics in Society)*, 183, 1637-1657, 2020 [DOI] - Comment: the challenges of multiple causes

Imai, K. and Jiang, Z.

*Journal of the American Statistical Association*, 114, 1605-1610, 2020 [DOI] - Causal mediation analysis in the presence of a misclassified binary exposure

Jiang, Z. and VanderWeele, T. J.

*Epidemiologic Methods*, 2019 [DOI] - A sensitivity analysis for missing outcomes due to truncation-by-death under the matched-pairs design

Imai, K., and Jiang, Z.^{*}

*Statistics in Medicine*, 37, 2907-2922, 2018 [DOI] - Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi

Jiang, Z. and Ding, P.

*Annals of Applied Statistics*, 12, 1831-1852, 2018 [DOI] - Identification of causal effects with latent confounding and classical additive errors in treatment

Li, W., Jiang, Z., Geng, Z. and Zhou, XH.

*Biometrical Journal*, 60, 498-515, 2018 [DOI] - The Directions of Selection Bias

Jiang, Z. and Ding, P.

*Statistics and Probability Letters*, 125, 104-109, 2017 [DOI] - Robust modeling using non-elliptically contoured multivariate $t$ distributions

Jiang, Z. and Ding, P.

*Journal of Statistical Planning and Inference*, 177, 50-63, 2016 [DOI] - Principal causal effect identification and surrogate endpoint evaluation by multiple trials

Jiang, Z., Ding, P. and Geng, Z.

*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, 78, 829-848, 2016 [DOI] - When is the difference method conservative for mediation? (with discussion)

Bounds or sensitivity analysis? Which to prefer for mediation? (rejoinder to discussion)

Jiang, Z. and VanderWeele, T. J.

*American Journal of Epidemiology*, 182, 105–117, 2015 [DOI] [DOI:rejoinder] - Qualitative evaluation of associations by the transitivity of the association signs

Jiang, Z., Ding, P. and Geng, Z.

*Statistica Sinica*, 25, 1065–1079, 2015 [DOI] - Causal mediation analysis in the presence of a mismeasured outcome

Jiang, Z. and VanderWeele, T. J.

*Epidemiology*, 26, e8-e9, 2015 [DOI] - Additive interaction in the presence of a mismeasured outcome

Jiang, Z. and VanderWeele, T. J.

*American Journal of Epidemiology*, 181, 81-82, 2015 [DOI] - Monotone confounding, monotone treatment selection, and monotone treatment response

Jiang, Z., Chiba, Y. and VanderWeele, T. J.

*Journal of Causal Inference*, 2, 1-12, 2015 [DOI]