Publications

You can also find my publications on Google Scholar.

Publications

  • Du, J., Yu, Y., Zhang, M., Wu, Z., Ryan, A. M., & Mukherjee, B. (2022). Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims. arXiv preprint arXiv:2208.00114. Statistical Methods and Medical Research. Accepted.

  • Fritsche, L. G., Nam, K., Du, J., Kundu, R., Salvatore, M., Shi, X., … & Mukherjee, B. (2023). Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks. PLoS genetics, 19(12), e1010907.

  • Du, J., Zhou, X., Clark‐Boucher, D., Hao, W., Liu, Y., Smith, J. A., & Mukherjee, B. (2023). Methods for large‐scale single mediator hypothesis testing: Possible choices and comparisons. Genetic Epidemiology, 47(2), 167-184.

  • Clark-Boucher, D., Zhou, X., Du, J., Liu, Y., Needham, B. L., Smith, J. A., & Mukherjee, B. (2023). Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons. PLoS genetics, 19(11), e1011022.

  • Du, J., Boss, J., Han, P., Beesley, L. J., Kleinsasser, M., Goutman, S. A., … & Mukherjee, B. (2022). Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods. Journal of Computational and Graphical Statistics, 31(4), 1063-1075.

  • Wang, Y. Z., Zhao, W., Ammous, F., Song, Y., Du, J., Shang, L., … & Smith, J. A. (2022). DNA methylation mediates the association between individual and neighborhood social disadvantage and cardiovascular risk factors. Frontiers in Cardiovascular Medicine, 9, 848768.

  • Du, J., J Beesley, L., Lee, S., Zhou, X., Dempsey, W., & Mukherjee, B. (2022). Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond. Statistics in Medicine, 41(2), 310-327.

  • Ray, D., Salvatore, M., Bhattacharyya, R., Wang, L., Du, J., Mohammed, S., … & Mukherjee, B. (2020). Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms. Harvard data science review, 2020(Suppl 1).

Preprints

  • Du, J., Shi, X., Zeng, D., & Mukherjee, B. (2024). Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys. arXiv preprint arXiv:2403.18039. Journal of the Royal Statistical Society, Series B. Under review.