Selected PUBLICATIONS:
Mukherjee, A., Coad, D.S., & Jana, S.* Covariate-Adjusted Response-Adaptive Designs for Censored Survival Responses (2023). Journal of Statistical Planning and Inference.
Journal Rank - A (ABDC), Q2 (SJR) https://www.sciencedirect.com/science/article/abs/pii/S0378375823000010
Mukherjee, A., Jana, S.*. Covariate-Adjusted Response-Adaptive Designs for Competing Risk Survival Models. In Press in Statistics in Biopharmaceutical Research. (SJR Q1)
Mukherjee, A., Jana, S.*, & Coad, D.S. Covariate-Adjusted Response-Adaptive Designs for Semi-Parametric Survival Models. In Press. Statistical Methods in Medical Research (ABDC Rank B, SJR Q1).
Jana, S.*, Fu, S. H., Gelband, H., Brown, P., & Jha, P. (2022). Spatio-temporal modelling of malaria mortality in India from 2004 to 2013 from the Million Death Study. Malaria journal, 21(1), 1-10. ( https://link.springer.com/article/10.1186/s12936-022-04112-x )
Jana, S.*, Sutton, M., Mollayeva, T., Chan, V., Colantonio, A., & Escobar, M. (2022). Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data. Frontiers in big data, 5. ( https://www.frontiersin.org/articles/10.3389/fdata.2022.793606/full )
Jana S., Balakrishnan N. and Hamid J. (2018). “Estimation of the parameters of the Extended Growth Curve Model under Multivariate Skew Normal distribution". Journal of Multivariate Analysis, 166, 111-128. Journal Rank - A (ABDC), Q1 (SJR) https://www.sciencedirect.com/science/article/pii/S0047259X17303998
Jana S., Balakrishnan N. and Hamid J. (2019). “Bayesian Growth Curve Model useful for high-dimensional longitudinal data". Journal of Applied Statistics. 46(5), 814-834.
Journal Rank - B (ABDC), Q2 (SJR) https://www.tandfonline.com/doi/abs/10.1080/02664763.2018.1517145
Jana S., Balakrishnan N. and Hamid J. (2030). “Inference in the Growth Curve Model under Multivariate Skew Normal distribution". Sankhyā: The Indian Journal of Statistics, Series B. 82(1), 34-69. Journal Ranks - B (old ABDC), Q3 (SJR) https://link.springer.com/article/10.1007/s13571-018-0174-1
Jana, S., Balakrishnan, N., von Rosen, D., & Hamid, J. S. (2017). High dimensional extension of the growth curve model and its application in genetics. Statistical Methods & Applications, 26(2), 273-292. Journal Ranks - C (ABDC), Q2 (SJR) https://link.springer.com/article/10.1007/s10260-016-0369-4
Mollayeva, T., Sutton, M., Chan, V., Colantonio, A., Jana, S., & Escobar, M. (2019). Data mining to understand health status preceding traumatic brain injury. Scientific reports, 9(1), 5574. (Nature Series) ( https://www.nature.com/articles/s41598-019-41916-5 )
*Corresponding author
BOOK CHAPTERS
Hamid, J. S., & Jana, S. (2020). Some Tests for the Extended Growth Curve Model and Applications in the Analysis of Clustered Longitudinal Data. In Recent Developments in Multivariate and Random Matrix Analysis (pp. 103-122). Springer, Cham.
( https://link.springer.com/chapter/10.1007/978-3-030-56773-6_7 )
Teaching
Applied Biostatistics and R (Indian Institute of Public Health, Hyderabad)
Special topics in Biostatistics (GMANOVA module) (University of Toronto)
Business Statistics (IIM Sambalpur and IIM Nagpur)
Econometrics (IIM Nagpur)
Advanced Data Analysis using R (IIM Nagpur)
Design of Experiments (IIT Hyderabad)
Introduction to Probability (IIT Hyderabad)
Introduction to Statistics (IIT Hyderabad)
Regression and Multivariate Analysis (IIT Hyderabad)
Introduction to Time Series Analysis (IIT Hyderabad)
Statistical Analysis with R (IIT Hyderabad)
Statistics for Science (McMaster University)
Probability (McMaster University)
Statistics for Engineers (McMaster University)
Statistics for Health Science (McMaster University)
Journal Associate Editor
Statistica Neerlandica : Journal Rank - A (ABDC), Q2 (SJR)
Journal Reviewer
Statistical Analysis and Data Mining
Journal of Applied Statistics
eLife
BMC Public Health
Panelist or Session Chair in Conferences
Judge for Student Research Competition at the Statistical Society of Canada (SSC) Conference 2023, Ottawa, Canada
Judge for the Poster Competition at the SSC Conference 2023, Ottawa, Canada
Session chair at the SSC Conference 2023, Ottawa, Canada
Panelist for an invited session on the topic of ‘Women in Data Science - Encouraging Careers in Data Science Worldwide.’ at the IISA (Indian International Statistical Association) 2022 held in IISc, Bengaluru, India from Dec 26 - 30, 2022
Ombudsman for the IISA (Indian International Statistical Association) conference, 2022 held in IISc, Bengaluru, India from Dec 26 - 30, 2022
Session-chair and Session Organizer at the International Day for Women in Statistics and Data Science (IWSDS), Oct 11, 2022
Session organizer and Host (Moderator) of IBS (International Biometric Society) Career Panel, a Prelude to the 31st IBC (International Biometric Conference), June 23, 2022
Panel member in the Roundtable discussion on Journeys in AI, ML, Stat – the Female Perspective in the 24th International Conference on AI and Statistics (AIStats), 2021
Session chair at the Statistical Society of Canada's Annual meeting 2021, virtual.
Session chair in Innovations in Data and Statistical Sciences (INDSTATS) 2019, IIT Bombay, Mumbai, India
Guest Lectures/Invited Talks/Workshops conducted
Data mining for EHR data Invited Talk in Seminar Series at MRC Biostatistics Unit, University of Cambridge. Dec 3, 2024.
"Statistical Methods for Global Health" Invited talk at World Statistics Congress, 2023 in Ottawa
"Robust Inference for GMANOVA models" , Invited talk at the Canadian Mathematical Society (CMS) Summer Meet 2023, Ottawa, Canada
Data mining techniques for identifying relevant comorbidities, from a large set, for big health-administrative data involving Electronic Health Records , Nov 7, 2021, IIT (ISM) Dhanbad.
Organized and Hosted the IISA sponsored session at the International Day for Women in Statistics and Data Science, Oct 11, 2022, virtual
Female statisticians in history, Dec 14, 2021, Around the World Conference (virtual).
Invited talk at the Koita Centre for Digital Health (KCDH), IIT Bombay - "Inference for skewed Generalized Multivariate Analysis of Variance (GMANOVA) Models"
Robustness of inference in GCM with respect to departure from normality, Mar 8, 2021, Dept. of Mathematics, University of Ottawa.
GCM under multivariate skewed normal distributions, Mar 10, 2021, Dept. of Mathematics, University of Ottawa.
Estimation of the parameters of an Extended Growth Curve Model under Multivariate Skew Normal Distribution. Mar 19, 2021. Statistics and Probability seminars, University of Ottawa.
Sample survey and Data analysis tools, Maharashtra National Law University, Feb 25, 2020, Nagpur, India
Biostatistics II – Statistical inference techniques, Dhulikhel Hospital, Kathmandu University, Mar 31-Apr 3, 2019, Dhulikhel, Nepal
Introduction to Spatio-temporal modeling with R, University of Hyderabad, Jan 31-Feb1, 2019, Hyderabad, India
Introduction to Time Series modelling, IIEST Shibpur, Jan 11, 2019 , Howrah, India
High Dimensional Extensions of the GCM and Genetic Applications, July 23, 2018, University of Hyderabad, Dept. of Mathematics and Statistics, Hyderabad, India.