Research Projects

Research Publications

1. Pandey, R., Chand, D. B., & Tolani, H. (2024). Bayesian multiple linear regression model for GDP in India. International Journal of System Assurance Engineering and Management, 1-18.
2. Pandey, A. K., Gautam, D., Tolani, H., & Neogi, S. B. (2024). Clinical outcome post treatment of anemia in pregnancy with intravenous versus oral iron therapy: a systematic review and meta-analysis. Scientific Reports, 14(1), 179
3. Mangal, D. K., Gautam, D., Pandey, A. K., Shaikh, N., Mishra, S. S., Tolani, H., ... & Anwar, F. (2024). Hidden hunger in patients with type 2 diabetes (T2D) and its effect on glycaemic control: a protocol for systematic review and meta-analysis. BMJ open, 14(3), e078688.
4. Adhikari, T., Yadav, J., Tolani, H., Tripathi, N., Kaur, H., & Rao, M. V. V. (2022). Spatio-temporal modeling for malnutrition in tribal population among states of India a Bayesian approach. Spatial and Spatio-temporal Epidemiology, 40, 100459.
5. Adhikari, T., Yadav, J., Tripathi, N., Tolani, H., Kaur, H., & Rao, M. V. V. (2021). Do tribal children experience elevated risk of poor nutritional status in India? A multilevel analysis. Journal of Biosocial Science, 53(5), 683-708.
6. Pandey, R., & Tolani, H. (2022). Penalized splines model to estimate time-varying reproduction number for Covid-19 in India: A Bayesian semi-parametric approach. Clinical Epidemiology and Global Health, 18, 101176.
7. Pandey, R., & Tolani, H. (2022). Crime patterns in Delhi: a Bayesian spatio-temporal assessment. International Journal of System Assurance Engineering and Management, 13(6), 2971-2980.
8. Adhikari, T., Tripathi, N., Yadav, J., Tolani, H., Rao, M. V. V., Kaur, H., & Chalga, M. S. (2022). Intersectional Inequalities in Anthropometric Failure among Indian Children: Evidence from the National Family Health Survey (2015-2016). Journal of Biosocial Science, 1-28.
9. Pandey, Ranjita and Tolani, Himanshu. ‘A Bayesian Perspective of Middle-batting Position in ODI Cricket’.  Journal of Sports Analytics, vol. 9, no. 1, pp. 99-108, 2023
10. Ranjita Pandey, Dipendra Bahadur Chand and Himanshu Tolani,Bayesian multiple linear regression model for gross domestic product in Bhutan, Advances and Applications in Statistics 87(2) (2023), 161-190
11. Ranjita Pandey, Dipendra Bahadur Chand, Himanshu Tolani. Bayesian Multiple Linear Regression Model for GDP in Nepal, International Journal of Statistical Distributions and Applications. Volume 9, Issue 1, March 2023 , pp. 9-23. doi: 10.11648/j.ijsd.20230901.12

Other Assignments

1. Developing training programme for data analytics in Hospitals and health care NGOs.
2. Working on analysis of Maternal Mortality in India based on available data sources.
3. Teaching Bio-statistics at masters level.
4. Conducting training/workshops on R for data visualization and data analytics.
5. Develop curriculum and course structure for Data Science.

Papers/Chapters in Books

Papers Presented

1. Spatio-Temporal Bayesian Regression of Pollutants on Reported Respiratory Disorders in Districts of Delhi, India in the National Seminar on Recent Trends in Statistical theory and Applications-2020 (NSSTA-2020) organized by Indian Society for Probability and Statistics (ISPS), Kerala Statistical Association (KSA) and the Department of Statistics, University of Kerala, Trivandrum during June 29- July 01, 2020.
2. Crime patterns in Delhi: A Bayesian Spatio-temporal Assessment in the International Conference on Recent Trends in Theoretical and Applied Statistics (RTTAS) during September 18-20, 2020 on online mode.
3. A Bayesian Perspective of Middle-batting Position in ODI cricket 5th International Conference on Mathematical Techniques in Engineering Applications (ICMTEA 2021) during December 03-04, 2021.

Trainings & Workshops

As a participant-

1. Workshop on "Applications of GIS in Public Health". Organized by Department of Community Medicine & SPH, PGIMER, Chandigarh in collaboration with Association of Health Systems Analysis and Strengthening (AHSAS), Chandigarh from March 24th – 26th , 2023.
2. Internantional Workshop on Artificial Intelligence and Machine Learning- Feburary, 2022 at NITTTR, Kolkata,
3. “Statistical Modeling for Health Economic Evaluations” in the online MDP on “A to Z Health Economics: Advanced”, held 07th August to 10th August, 2023.
4. “Basic-Biostatistics” and “Interpretation of Results in Advanced Statistical Analysis” in the offline training session on Research Methodology supported by Pfizer held 21th September to 24th September (MEHER-Workshop).

As a Resource Person- 

1. Invited as a speaker to deliver a session on “Multivariable Regression models in Epidemiology” by International Training and Education Center for Health (I-TECH), based in the University of Washington’s Department of Global Health at Seattle, Washington on 09th March 2024 in online mode.
2. Invited as a speaker to provide hands-on training on “Unfolding Statistical Analysis Using R” in pre-conference CME IPHACON24 on 14th March 2024 at Manali, Himachal Pradesh.
3. Invited as a speaker to provide training on “Disease Mapping and Surveillance using GIS” for the programme on “Health, Nutrition, and WASH during Emergencies” at New Delhi on 21st March 2024.

Membership of Scientific & Academic Organizations

Awards Obtained