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Medrxiv : the Preprint Server for Health Sciences|September 30, 2020
EXTENDING THE SUSCEPTIBLE-EXPOSED-INFECTED-REMOVED(SEIR) MODEL TO HANDLE THE HIGH FALSE NEGATIVE RATE AND SYMPTOM-BASED ADMINISTRATION OF COVID-19 DIAGNOSTIC TESTS: SEIR-fansyRitwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, et al.Biostatistics (Oxford, England)|April 1, 2026
A doubly robust framework for addressing outcome-dependent selection bias in multi-cohort EHR studiesRitoban Kundu, Xu Shi, Michael Kleinsasser, et al.BMC Research Notes|July 9, 2021
Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in IndiaSoumik Purkayastha, Ritoban Kundu, Ritwik Bhaduri, et al.Statistics in Medicine|February 28, 2022
Extending the susceptible-exposed-infected-removed (SEIR) model to handle the false negative rate and symptom-based administration of COVID-19 diagnostic tests: SEIR-fansyRitwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, et al.Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 16, 2023
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methodsJiacong Du, Jonathan Boss, Peisong Han, et al.Science Advances|June 17, 2022
Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilienceMaxwell Salvatore, Soumik Purkayastha, Lakshmi Ganapathi, et al.Harvard Data Science Review|July 2, 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 armsDebashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, et al.Pageof 1