Sandip Barui

Employment

• Indian Statistical Institute Assistant Professor Gr. I
  2024 - Present
• Indian Institute of Management Kozhikode Assistant Professor
  2020 - 2024
• University of Toronto Visiting Faculty
  2019 - 2019
• University of South Alabama Assistant Professor
  2018 - 2020
• University of Waterloo Postdoctoral Fellow
  2017 - 2018

Education

• McMaster University Ph.D.
  2013 - 2017
• Indian Institute of Technology Bombay M.Sc. (Applied Statistics and Informatics)
  2008 - 2010
• Ramakrishna Mission Residential College Narendrapur (University of Calcutta) B.Sc.
  2005 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• A flexible bivariate cure model with shared random effect and associated inference and application to diabetic retinopathy data
  Statistical Methods in Medical Research 2026 DOI: 10.1177/09622802261468019
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• Likelihood-based inference for semi-parametric transformation cure models with interval censored data
  Communications in Statistics - Simulation and Computation 2025 DOI: 10.1080/03610918.2024.2393702
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• Destructive cure models with proportional hazards lifetimes and associated likelihood inference
  Communications in Statistics: Case Studies, Data Analysis and Applications 2023 DOI: 10.1080/23737484.2023.2169210
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• Piecewise linear approximations of baseline under proportional hazards based COM-Poisson cure models
  Communications in Statistics - Simulation and Computation 2022 DOI: 10.1080/03610918.2022.2032157
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• Least Squares Twin Support Vector Machines to Classify End-Point Phosphorus Content in BOF Steelmaking
  Metals 2022 DOI: 10.3390/met12020268
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• Predictors of Patient-Reported Dysphagia and Reflux Symptoms in Obstructive Sleep Apnea
  Perspectives of the ASHA Special Interest Groups 2021 DOI: 10.1044/2021_persp-21-00171
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• A Hard EM algorithm for prediction of the cured fraction in survival data
  Computational Statistics 2021 DOI: 10.1007/s00180-021-01140-0
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• Semiparametric methods for survival data with measurement error under additive hazards cure rate models
  Lifetime Data Analysis 2020 DOI: 10.1007/s10985-019-09482-0
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• Application of decision tree-based twin support vector machines to classify dephosphorization in BOF steelmaking
  AISTech - Iron and Steel Technology Conference Proceedings 2020 DOI: 10.33313/380/073
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• New approach to classify phosphorus partition in BOF steelmaking using PCA-based twin support vector machines
  AISTech - Iron and Steel Technology Conference Proceedings 2020 DOI: 10.33313/380/074
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