Buddhananda Banerjee

Accepted Articles

1. Banerjee, B., Laha, A. K. and Lakra, A. (2020) Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data, Statistical Analysis and Data Mining: The ASA Data Sci Journal. 2020;13:529–536.
2. Ghosh, A., Banerjee, B., Malhotra, A., Malpani, R. and Fatima, S., (2019), "Gearing up of Corporate Social Responsibility with Artificial Intelligence: An Indian Forecast", ANWESH: International Journal of Management & Information Technology, 4(2), 56-59.
3. B. Banerjee, Biswas, A., Ong, S.H., and Mandal, S.,(2019) Cochran-Mantel-Haenszel Test with Bivariate Binomial Model on Surrogate Marker Analysis. Communications in Statistics Case Studies and Data Analysis 4: 3-4 pp 142–150
4. Banerjee, B. and Mazumder, S., (2018) A more powerful test identifying the change in mean of functional data. Annals of the Institute of Statistical Mathematics. 70 pp 691-715
5. Banerjee, B. and Pradhan, B. (2018) Kolmogorov-Smirnov test for life test data with hybrid censoring. Communications in Statistics - Theory and Methods.47:11 pp 2590-2604
6. Banerjee, B. and Biswas, A. (2017) True endpoint reduction by surrogate endpoint. Communications in Statistics - Simulation and Computation. 46: 8 pp 6645-6653
7. Banerjee, B. and Biswas, A. (2015) Linear increment in efficiency with the inclusion of surrogate endpoint. Statistics and Probability Letters: 96 pp 102-108
8. Banerjee, B. and Biswas, A. (2014) Odds ratio for 2 × 2 tables: Mantel-Haenszel estimator, profile likelihood in presence of surrogate responses. Journal of Biopharmaceutical Statistics: 24 pp 649- 659
9. Banerjee, B., Biswas, A, and Mandal, S. (2013) Optimal sample proportion for a two-treatment clinical trial in presence of surrogate endpoints. mODa 10-Advances in Model-Oriented Design and Analysis: (D. Uciski and A.C. Atkinson, eds.) Springer pp 27-34
10. Banerjee, B. and Biswas, A. (2012) On the closeness of Mantel-Haenszel estimator and profile likelihood based estimator of common odds ratio from multiple 2 × 2 tables. Statistics and Probability Letters: 82 pp 1990-1993
11. Banerjee, B. and Biswas, A. (2011) Estimating treatment difference for binary responses in the presence of surrogate end-points. Statistics in Medicine: 30 pp 186-196

Accepted Articles

1. Banerjee, B., Laha, A. K. and Lakra, A. (2020) Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data, Statistical Analysis and Data Mining: The ASA Data Sci Journal. 2020;13:529–536.
2. Ghosh, A., Banerjee, B., Malhotra, A., Malpani, R. and Fatima, S., (2019), "Gearing up of Corporate Social Responsibility with Artificial Intelligence: An Indian Forecast", ANWESH: International Journal of Management & Information Technology, 4(2), 56-59.
3. B. Banerjee, Biswas, A., Ong, S.H., and Mandal, S.,(2019) Cochran-Mantel-Haenszel Test with Bivariate Binomial Model on Surrogate Marker Analysis. Communications in Statistics Case Studies and Data Analysis 4: 3-4 pp 142–150
4. Banerjee, B. and Mazumder, S., (2018) A more powerful test identifying the change in mean of functional data. Annals of the Institute of Statistical Mathematics. 70 pp 691-715
5. Banerjee, B. and Pradhan, B. (2018) Kolmogorov-Smirnov test for life test data with hybrid censoring. Communications in Statistics - Theory and Methods.47:11 pp 2590-2604
6. Banerjee, B. and Biswas, A. (2017) True endpoint reduction by surrogate endpoint. Communications in Statistics - Simulation and Computation. 46: 8 pp 6645-6653
7. Banerjee, B. and Biswas, A. (2015) Linear increment in efficiency with the inclusion of surrogate endpoint. Statistics and Probability Letters: 96 pp 102-108
8. Banerjee, B. and Biswas, A. (2014) Odds ratio for 2 × 2 tables: Mantel-Haenszel estimator, profile likelihood in presence of surrogate responses. Journal of Biopharmaceutical Statistics: 24 pp 649- 659
9. Banerjee, B., Biswas, A, and Mandal, S. (2013) Optimal sample proportion for a two-treatment clinical trial in presence of surrogate endpoints. mODa 10-Advances in Model-Oriented Design and Analysis: (D. Uciski and A.C. Atkinson, eds.) Springer pp 27-34
10. Banerjee, B. and Biswas, A. (2012) On the closeness of Mantel-Haenszel estimator and profile likelihood based estimator of common odds ratio from multiple 2 × 2 tables. Statistics and Probability Letters: 82 pp 1990-1993
11. Banerjee, B. and Biswas, A. (2011) Estimating treatment difference for binary responses in the presence of surrogate end-points. Statistics in Medicine: 30 pp 186-196

PhD Thesis : Inference Based on Surrogate Endpoints in Clinical Trials with Binary Responses

Pre-prints:

1. Banerjee, B, and Biswas, S.: Sampling from the surface of a curved torus: A new genesis
2. Kumar, S., Basak,S., Banerjee, B.: Adaptive Bootstrap Inference for the Mean Direction of a Wrapped Cauchy Distribution
3. Jain, E., Neeraja, Banerjee, B., Ghosh, P. : A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning
4. Banerjee, B., Laha, A. K. : A geometric approach to estimate the mean shift in change-point analysis
5. Banerjee, B. Pandey, P and Adhikari, B.: A model for the spread of an epidemic from local to global: A case study of COVID-19 in India
6. Banerjee, B and Srivabstava, R., Change point detection in time-series data