Publications

Research Papers (See Google Scholar) [Orcid: 0000-0001-9605-1213]

1. Jain R.K., Sharma P.K., Gaj S., Sur A., and Ghosh P. Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network. Multimedia Tools and Applications, 2024 (arxiv) (Get it here). Media: Gyan Viyan News, Times of India, The Economic Times - Healthworld, Financial Express, IIT Guwahati Chanel

2. Mohta R., Prathapani S., Ghosh P., Jump-Drop Adjusted Prediction of Cumulative Infected Cases using the Modified SIS Model. Annals of Data Science, 2023 (medRxiv) (Get it here)

3. Ghosh, P., Yan X., and Chakraborty, B., A Novel Approach to Assess Dynamic Treatment Regimes Embedded in a SMART with an Ordinal Outcome. Statistics in Medicine, 2023 (arxiv) (Get it here)

4. Liew F.T., Ghosh, P., and Chakraborty, B. Accounting for the Role of Asymptomatic Patients in Understanding the Dynamics of the COVID-19 Pandemic: A Case Study from Singapore. Epidemiologic Methods, 2022, vol. 11, no. s1.  (Get it here)

5. Ghosh P. Corrected Probability Mass Function of the Binomial Distribution. Resonance, 2021, 26(12), 1721-1724 (Get it here).

6. Anand A., Kumar S., and Ghosh P. Dynamic Data-Driven Algorithm to Predict the Cumulative COVID-19 Infected Cases Using Susceptible-Infected-Susceptible Model. Epidemiologic Methods, 2021 (Get it here). 

7. Yan X., Ghosh P., and Chakraborty B. Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART). Biometrical Journal, 2021, 63(2), 247-271. 

8. Ghosh P., Ghosh R., Chakraborty B. COVID-19 in India: State-wise Analysis and Prediction. JMIR Public Health and Surveillance 2020;6(3). Get it here

9. Ghosh, P., Nahum-Shani I., Spring B. and Chakraborty, B., Non-Inferiority and Equivalence Tests in A Sequential Multiple-Assignment Randomized Trial (SMART). Psychological Methods,  2020, 25(2), 182-205. Get it here;   Shiny Web App

10. Salazar E., Ghosh P., Tan V., Pang T., Poh B.Y., Tan L.B., Loy K.L., Chong J., Beh H.L., Ng D., Ling K.L., Wang Y.T.  Effect of Alternative Intravenous Lipid Emulsion in Clinical Outcome in Non-Critically Ill Patients.  Clinical Nutrition ESPEN, 2019, 33, 42-46. Get it here 

11. Ghosh S., Hota M., Chai X., Kiranya J., Ghosh P., He Z., Ruiz-Ramie J., Sarzynski M., and Bouchard C. Exploring the underlying biology of intrinsic  cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling. Journal of Applied Physiology,  2019, 126(5), 1292-1314 

12. Goei A. H. Y., Chan D., Ghosh P., Chakraborty B. Initiation Dose of Sodium Valproate in Epilepsy: Proof of Concept Study of the Impact of Starting Dose and Titration on Seizure Control and Side Effect Profile. In EPILEPSIA, 2018, Vol. 59, pp. S71-S72. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY

13. Wilkins J.*,Ghosh, P.*  Vivar J.C., Chakraborty B. and Ghosh S. Relationship of Systemic Inflammation and Obesity to Healthy Days: analysis of an US population-based survey (NHANES 2005-2008). BMC Obesity, 2018, 5:21 (*: Joint first authors) Get it here 

14. Ghosh P. and Dewanji A., Sample size of the reference sample in a case-augmented study. Pharmacoepidemiology and Drug Safety, 2017, 26 (5), 528-534

15. Chakraborty B., Ghosh P., Moodie E. and Rush A.J. Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial. Biometrics, 2016, 72 (3), 865-876. Get it here 

16. Ghosh, P., Dewanji, A., Regression analysis of biased case-control data. Annals of the Institute of Statistical Mathematics,  2016, 68 (4), 805-825.  Get it here

17. Ghosh, P., Dewanji, A., Effect of reporting bias in the analysis of spontaneous reporting data. Pharmaceutical Statistics,  2015, 14 (1), 20-25.  Get it here

18. Ghosh P. and Dewanji A., Matched Case-Control Study with Reporting Bias,  Journal of Statistical Planning and Inference 2015, 157, 121-136. Get it here

19. Ghosh P. and Dewanji A., An assessment of Bayesian confidence propagation neural network method for adverse drug reaction signal generation in presence of reporting bias, Drug Safety. 2011, 34(10): 913-914 [Conference proceeding, 11th Annual Meeting of the International Society of Pharmacovigilance (ISoP) in Istanbul, Turkey from 26th to 28th October 2011].

20. Ghosh P. and Dewanji A.,  Analysis of spontaneous adverse drug reaction (ADR) reports using supplementary Information. Statistics in Medicine, 2011 Jul 20;30 (16):2040-55. Get it here

Submitted/Working

21. Ghosh P., Nalamada T., Agarwal S., Jahja M., and Chakraborty, B. A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens. Submitted (arxiv )

22. Jain E., Neeraja J., Banerjee B., Ghosh P., A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning.  Submitted (arxiv)

23. Ghosh, R., Chakraborty, B., Nahum-Shani, I., Patrick, M., Ghosh P. Optimal Adaptive SMART Designs with Binary Outcomes. Submitted (arxiv)

Book Chapters

Ghosh, P., Cheung, Y.K. and Chakraborty, B., (2016). Sample size calculations for clustered SMART designs. In MR Kosorok and EEM Moodie (Eds.), "Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine," 55-68, Publisher: SIAM

Chakraborty, B., and Ghosh, P., (2021).  Factorial design. In KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson (Eds.), "Handbook of Statistical Methods for Randomized Controlled Trials," Chapter 9, (pp. 163-190). Chapman & Hall/CRC.