Submitted:
Das P, Dey T, Peterson C, Chakraborty S (2025): B-MASTER: Scalable Bayesian Multivariate Regression Analysis for Selecting Targeted Essential Regressors to Identify the Key Genera in Microbiome-Metabolite Relation Dynamics. Link
Kim B, Xia Z, Das P (2024): SMART-MC: Sparse Matrix Estimation with Covariate-Based Transitions in Markov Chain Modeling of Multiple Sclerosis Disease Modifying Therapies. Link
Published:
Das D, Das P (2025): A second order correct Bootstrap method in logistic regression, Bernoulli (in press). Link
Saha R, Das P, Laha N (2025): The two-sample location shift model under log-concavity, Journal of Statistical Planning and Inference, 238, 106272. Link
Das P et al. (2024) : Clustering sequence data with mixture Markov chains with covariates using multiple simplex constrained optimization routine (MSiCOR), Journal of Computational and Graphical Statistics, 33(2), 379-392. Link
Hutch et al. (2024) : Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study, PLOS Digital Health, 3(4), e0000484. Link
Sperotto et al. (2023) : Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium, Eclinicalmedicine 64. Link
Das P et al. (2023) : Utilizing biologic disease modifying anti-rheumatic treatment sequences to subphenotype rheumatoid arthritis, Arthritis Research & Therapy 25 (1), 1-7. Link
Das P (2023) : Black-box optimization on hyper-rectangle using Recursive Modified Pattern Search and application to ROC-based Classification Problem, The Indian Journal of Statistics: Sankhya B, 85, 365-404. Link
Dagliati et al. (2023) : Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data, a cohort study, Eclinicalmedicine 64. Link
Zhang et al. (2023) : Potential pitfalls in the use of real-world data for studying long COVID, Nature Medicine, 29, 1040-1043. Link
Tan et al. (2023) : Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record?, Journal of Biomedical Informatics, 139, 104306. Link
Maiti R, Li P, Das P, Liu X, Feng L, Hausenloy D, Chakraborty B (2023) : A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification, Statistical Methods in Medical Research 32 (2), 242-266. Link
Tan B, Tan B, Tan A, Schriver E, Gutiérrez-Sacristán A, Das P et al. (2023) : Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study, Eclinicalmedicine 55, 101724. Link
Francisco-Cruz A, Rocha P, Reuben A, Krishnan S, Das P et al. (2023) : Analysis of Immune Intratumor Heterogeneity Highlights Immunoregulatory and Coinhibitory Lymphocytes as Hallmarks of Recurrence in Stage I Non–Small Cell Lung Cancer, Modern Pathology 36 (1), 100028. Link
Gutiérrez-Sacristán et al. (2022) : Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic, JAMA Network Open, 5 (12), e2246548-e2246548. Link
Das P, Peterson C, Ni Y, Reuben A, Zhang J, Do K, Baladandayuthapani V (2022) : Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer, Biometrics, 79(3), 2474-2488. Link
Wang et al. (2022) : SurvMaximin: Robust federated approach to transporting survival risk prediction models, Journal of Biomedical Informatics 134, 104176. Link
McDermott G, Cui J, Knevel R, Dahal K, Weisenfeld D, Das P et al. (2022) : Inflammatory Arthritis Genetic Risk Factors to Predict Treatment Patterns in Rheumatoid Arthritis (abstract), Arthritis & Rheumatology, 74, 2754-2756. Link
Zhang et al. (2022) : International electronic health record-derived post-acute sequelae profiles of COVID-19 patients, NPJ Digital Medicine 5 (1), 81. Link
Weber et al. (2022) : International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality, NPJ Digital Medicine 5 (1), 74. Link
Hong et al. (2022) : Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2, BMJ open 12 (6), e057725. Link
Klann et al. (2022) : Distinguishing admissions specifically for COVID-19 from incidental SARS-cov-2 admissions: national retrospective electronic health record study, Journal of Medical Internet Research 24 (5), e37931. Link
Das P, De D, Maiti R, Kamal M, Hutcheson K, Fuller C, Chakraborty B, Peterson C (2022) : Estimating the optimal linear combination of predictors using spherically constrained optimization, BMC bioinformatics 23 (3), 1-20. Link
Das P (2021) : Recursive modified pattern search on high-dimensional simplex: A blackbox optimization technique, The Indian Journal of Statistics: Sankhya B, 83 (2), 440-483. Link
Weber et al. (2021) : International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: retrospective cohort study, Journal of Medical Internet Research 23 (10), e31400. Link
Hutch et al. (2021) : National Trends in Disease Activity for COVID-19 Among Children in the US, Frontiers in Pediatrics 9, 2296-2360. Link
Das-Bhowmik R, Seo S, Das P, Sankarasubramanian A (2020) : Synthesis of irrigation water use in the United States: Spatiotemporal patterns, Journal of Water Resources Planning and Management 146 (7), 04020050. Link
Das P, Peterson C, Do K, Akbani R, Baladandayuthapani (2020) : NExUS: Bayesian simultaneous network estimation across unequal sample sizes, Bioinformatics 36 (3), 798-804. Link
Francisco-Cruz et al. (2019) : Impact of the spatial analysis of tumor-associated lymphocytes and tumor-associated macrophages on recurrence at early stage of non-small cell lung carcinoma (abstract), Cancer Research 79 (13_Supplement), 1180-1180. Link
Das P, Ghosal S (2018) : Bayesian non-parametric simultaneous quantile regression for complete and grid data, Computational Statistics & Data Analysis 127, 172-186. Link
Das P, Patskoski J, Sankarasubramanian A (2018) : Modeling the irrigation withdrawals over the coterminous US using a hierarchical modeling approach, Water Resources Research 54 (6), 3769-3787. Link
Das P, Ghosal S (2017) : Analyzing ozone concentration by Bayesian spatiotemporal quantile regression, Environmetrics 28 (4), e2443. Link
Das P, Ghosal S (2017) : Bayesian quantile regression using random B-spline series prior, Computational Statistics & Data Analysis 109, 121-143. Link