1. Working on an R package and manuscript for publication on a novel methodology for screening predictors from high-dimensional omics dataset with rare binary outcomes. This methodology has two methods; one employs ttScreening with Firth’s correction and the other incorporates linear modeling with empirical bayes moderation.
2. Working on manuscript for peer-reviewed publication on a novel methodology using joint likelihood model for variable selection. This method uses MCP (Minimax Concave Penalty) and log-F (1,1) prior penalty terms along with log-likelihood for binary outcome. This model needs a hybrid convergence algorithm (HCA) that runs Newton-Raphson for convergence of log-F (1,1) parameters and Coordinate Descent algorithm for high-dimensional predictor parameters.
3. Working a Bayesian model analogous to the penalty method where researchers can incorporate prior information from current literature and employ a shrinkage system (spike and slab method) for variable selection. The posterior is calculated using metropolis hastings MCMC method for this model.
Publications
1. Mukhopadhyay, A., Mondol, M. H., Rahman, M., Unicomb, L., Khan, R., Mazumder, H., Ferdous, M.N., ... & Naser, A. M. (2025). The direct and urinary electrolyte-mediated effects of ambient temperature on population blood pressure: A causal mediation analysis.Environment International, 195, 109208. https://doi.org/10.1016/j.envint.2024.109208
2. Abrar, M. N. F., Jiang, Y., Zhang, H., Li, L., & Arshad, H. (2024). Epigenetic features in newborns associated with preadolescence lung function and asthma acquisition during adolescence.Epigenomes, 8(2), 12. https://doi.org/10.3390/epigenomes8020012
3. Abrar, M. N. F., Zhang, H., & Jiang, Y. (2024). Suggested guidelines in reporting results from mediation analysis, standardized or unstandardized?PLOS ONE, 19(9), e0310429. https://doi.org/10.1371/journal.pone.0310429
4. Umberger, R., Jiang, Y., Abrar, M. N. F., Mary, A., Hutchison, A., & Womeodu, R. (2023). 269: Exploring the role of social determinants of health on readmissions after sepsis.Critical Care Medicine, 51(1), 119. https://doi.org/10.1097/01.ccm.0000906812.67577.3d
