Dr. Subrata Rana

• Department: Department of Statistics
• Phone Number: 9874089402
• Institutional E-Mail: subratastat26@klyuniv.ac.in
• Educational Qualifications:

  B.Sc. in Statistics (Honours) from Presidency College (affiliated to University of Calcutta)
  M.Sc. in Statistics from University of Calcutta
  Ph.D. in Statistics from University of Calcutta

• Teaching Experience:

  Krishnagar Government College, Krishnagar, Nadia (2014 – 2025)
  Maulana Azad College, Kolkata (2025 – 2026)
  University of Kalyani (2026 – till date)

• Research Area:

  Biostatistics
  Longitudinal Data
  Missing Data

• List of Publications(Peer-Reviewed)

  9. Chatterjee, D., Acharyya, S. & Rana, S. (2026). MechGNN-Epi: Mechanistically Constrained Spatiotemporal Graph Learning for Regional Epidemic Forecasting. Model Assisted Statistics and Applications, DOI: 10.1177/15741699261476683.
  8. Rana, S., & Roy, S. (2024). Ordinal family data analysis with measurement error in covariates. Communications in Statistics – Simulation and Computation, 54(12) 5195-5209, https://doi.org/10.1080/03610918.2024.2443200. [IF: 1.118]
  7. Roy, S., Adhya, S. & Rana, S. (2024): Estimation of odds ratio from grouped testing data with misclassified exposure, Biometrical Journal, 66(1) 2200254, DOI: 10.1002/bimj.202200254. [IF: 2.207]
  6. Banerjee, P., Laha, R., Dikshit, M.K., Hui, N.B., Rana, S., Pathak, V.K., Saxena, K.K., Prakash, C. & Buddhi, D. (2024): A study on the performance of various predictive models based on artificial neural network for backward metal flow forming process, International Journal of Design and Manufacturing (IJIDeM), 18(3), 1141-1150. [IF: 2.5]
  5. Rana, S. (2022). Analysis of longitudinal ordinal data using semiparametric mixed model under missingness. Communications in Statistics – Simulation and Computation, 51(10), 5631-5642. [IF: 1.162]
  4. Rana, S., Roy, S., & Das, K. (2018). Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer’s disease study. Journal of Multivariate Analysis, 166, 62–77. [IF: 1.009]
  3. Das, K., Rana, S., & Roy, S. (2017). Evaluation on Alzheimer’s disease progression based on clinical dementia rating scale with missing responses and covariates. Journal of Biopharmaceutical Statistics, 28(5), 893-908. [IF: 0.638]
  2. Roy, S., Rana, S., & Das, K. (2016). Clustered data analysis under miscategorized ordinal outcomes and missing covariates. Statistics in Medicine, 35, 3131–3152. [IF: 1.932]
  1. Rana, S., Roy, S., & Das, K. (2016). On analyzing ordinal data when responses and covariates are both missing at random. Statistical Methods in Medical Research, 25(4), 1564–1578. [IF: 4.634]

• Invited Lecture / Session Chaired

  1. Invited lectures on ‘Applied Regression Analysis’ and ‘Regression Diagnostics’ on 23.09.2024 in PhD Coursework on “Applied Statistics” organised by the Department of Statistics, West Bengal State University during 23.09.2024 to 27.09.2024.
  2. Presented a paper titled “Ordinal Family Data Analysis with Measurement Error in Covariates” in the ‘Eleventh International Triennial Calcutta Symposium’ at University of Calcutta held on December 27-30, 2024. (Invited talk)
  3. Chaired a session in the ‘Eleventh International Triennial Calcutta Symposium’ at University of Calcutta held on December 27-30, 2024.
  4. Invited to serve as a Resource Person for the One-Week National Level Workshop on “Research Methodology and Data Analysis”, scheduled from 16th to 21st February 2026, organized by Department of Statistics and the Department of Computer Science, Sikkim Government College, Rhenock, and give two lectures on ‘Descriptive measures & frequency distributions’ and ‘Principles of effective data visualization’ on 19.02.2026.