Publications & Presentations

• Ghosal, S. and Chen, Z., 2024. A placement-value based approach to concave ROC analysis. arXiv preprint arXiv:2407.00797.

• Ghosal, S., 2024. Impact of methodological assumptions and covariates on the cutoff estimation in ROC analysis. arXiv preprint arXiv:2404.13284.

• Ghosal, S., Grantz, K.L. and Chen, Z., 2022. Estimation of multiple ordered ROC curves using placement values. Statistical Methods in Medical Research, 31(8), pp.1470-1483, https://doi.org/10.1177/09622802221094940

• Ghosal, S. and Chen, Z., 2022. Discriminatory capacity of prenatal ultrasound measures for large-for-gestational-age birth: A Bayesian approach to ROC analysis using placement values. Statistics in Biosciences, 14(1), pp.1-22, https://doi.org/10.1007/s12561-021-09311-9

• Ghosal, S., Lau, T.S., Gaskins, J. and Kong, M., 2020. A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(5), pp.1121-1144, https://doi.org/10.1111/rssc.12434

• Chen, Z. and Ghosal, S., 2021. A note on modeling placement values in the analysis of receiver operating characteristic curves. Biostatistics & Epidemiology, 5(2), pp.118-133, https://doi.org/10.1080/24709360.2020.1737794

• Ghosal, S. A placement-value based ROC surface regression.

• Ghosal, S., Chernyavskiy, P., Smith, M. J., Kong, M. A spatiotemporal model of antibiotic overuse accounting for joint multilevel spatial effects and seasonal variability.

• Ghosal, S., Kong, M. Assess treatment effects for multiple groups when the outcome is ordinal and confounding variables exist.

Further along the line:

• Ghosal, S. Placement value-based concave ROC regression and corresponding optimal cutpoints.

• Ghosal, S., Dey, R., Chen, Z. Lehmann ROC curves and its extensions.

• Ghosal, S., Chen, Z. Bayesian semiparametric approach to a mixture of ROC curves based on proportional hazards and reverse hazards.

• Hwang, B., Dey, R., Zhang, W., Ghosal, S., Chen, Z. A comprehensive R package for proper ROC curves.

• Zawar, I., Quigg, M., Ghosal, S., Punia, V., Calle-Lopez, Y., Hashmi, S. A., Manning, C., Kapur, J. Poor seizure control in Dementia is associated with higher mortality and worse cognition and function. Annals of Neurology. Accepted.

• Charles, D., Kazeem, A., Lange, M., Jones, M., Sun, F., Ghosal, S., Krzastek, S., Rapp, D., Ortiz, N., Smith, R. Is low-intensity shockwave therapy for erectile dysfunction a durable treatment option? Outcomes of long-term follow-up. Translational Andrology & Urology. Accepted.

• Abhyankar, M. M. et al. (2024) ‘Immunogenicity and safety of an Entamoeba histolytica adjuvanted protein vaccine candidate (LecA+GLA-3M-052 liposomes) in rhesus macaques’, Human Vaccines & Immunotherapeutics, 20(1). doi: 10.1080/21645515.2024.2374147.

• Dirghangi, A.J., Balkrishnan, R., Ghosal, S. and Patel, R., 2024. Assessment of visual impairment risk factors in Southwest Virginia: an integrated approach using EHR and SDOH data. Investigative Ophthalmology & Visual Science, 65(7), pp.1834-1834.

• Hutchison, D., Jones, M.K., Ghosal, S., Lawton, J., Greene, K.L. and Rapp, D.E., 2024. Comparison of in-person VERSUS ONLINE COMPREHENSIVE pelvic floor REHABILITATION program following prostatectomy. Urology, https://doi.org/10.1016/j.urology.2024.05.033.

• Chen, K.Y., Jones, M.K., Ghosal, S., Ignozzi, G.P., Yeaman, C., Horton, B.J., Lobo, J.M. and Krupski, T.L., 2024. MP34-20 GEOGRAPHICAL PROXIMITY OVER SOCIOECONOMIC STATUS: PREDICTORS OF ADHERENCE TO SURVEILLANCE CYSTOSCOPY. The Journal of Urology, 211(5S), p.e579, https://doi.org/10.1097/01.JU.0001008876.78012.90.20.

• Bielick, C., Strumpf, A., Ghosal, S., McMurry, T. and McManus, K.A., 2024. National Hospitalization Rates and In-Hospital Mortality Rates of HIV-related Opportunistic Infections in the United States, 2011-2018. Clinical Infectious Diseases: an Official Publication of the Infectious Diseases Society of America, pp.ciae051-ciae051. https://doi.org/10.1093/cid/ciae051, PMID: 38306316.

• Zawar, I., Ghosal, S., Hantus, S., & Punia, V. 2023. Indications for Continuous Electroencephalographic (cEEG) Monitoring: What Do They Tell Us? Epilepsy Research, pp. 107088, https://doi.org/10.1016/j.eplepsyres.2023.107088

• Farah, N., Akingbade, J.O., Alsobrooks, J.P., Malhi, J., Schmidt, M.A., Noth, I., Ghosal, S., Barros, A. and Bonham, C., 2023. Longer Travel Distance to Subspecialty Clinic Associates With Lower Lung Function in Pulmonary Sarcoidosis. In D15. OUTCOMES IN SARCOIDOSIS (pp. A6225-A6225). American Thoracic Society, https://doi.org/10.1164/ajrccm-conference.2023.207.1_MeetingAbstracts.A6225.

• Wattles, B., Vidwan, N., Ghosal, S., Feygin, Y., Creel, L., Myers, J., Woods, C., Smith, M. J., 2021. Cefdinir is a priority for outpatient antimicrobial stewardship. Journal of the Pediatric Infectious Diseases Society, 10(2), pp. 157-160, https://doi.org/10.1093/jpids/piz084, PMID: 31822897.

• Ghosal, S., Trivedi, J., Barlowe, D., Zhao, L., Ji, X., Slaughter, M.S., Kong, M. and Huang, J., 2020, December. Preoperative functional platelet number is inversely associated with 30-day mortality after cardiac surgery: a retrospective cohort study. In Seminars in Cardiothoracic and Vascular Anesthesia, 24(4), pp. 313-320, Sage CA: Los Angeles, CA: SAGE Publications, https://doi.org/10.1177%2F1089253220943023

• Davis, D.W., Feygin, Y., Creel, L., Williams, P.G., Lohr, W.D., Jones, V.F., Le, J., Pasquenza, N., Ghosal, S., Jawad, K. and Yan, X., 2019. Longitudinal trends in the diagnosis of attention-deficit/hyperactivity disorder and stimulant use in preschool children on Medicaid. The Journal of Pediatrics, 207, pp.185-191, https://doi.org/10.1016/j.jpeds.2018.10.062

• Nessle, C.N., Ghosal, S., Mathews, C., Taylor, D., Myers, J., Raj, A. and Panigrahi, A., 2019. Weak correlation of bleeding scores to platelet electron microscopy: A retrospective chart review of pediatric patients with delta‐storage pool disorder. Pediatric Blood & Cancer, 66(3), p.e27505, https://doi.org/10.1002/pbc.27505

• Ghosal, S., Trivedi, J., Chen, J., Rogers, M.P., Cheng, A., Slaughter, M.S., Kong, M. and Huang, J., 2018. Regional cerebral oxygen saturation level predicts 30-day mortality rate after left ventricular assist device surgery. Journal of Cardiothoracic and Vascular Anesthesia, 32(3), pp.1185-1190, https://doi.org/10.1053/j.jvca.2017.08.029

• Lohr, W.D., Feygin, Y.B., Le, J.F., Ghosal, S., Creel, L., Myers, J., and Davis, D.W., 2018. 4.14 Impact of Language Disorder on Prescribing Patterns and Healthcare Utilization Among Low-Income Children With ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 57(10), pp. S209.

• Smith, M., Vidwan, N., Wattles, B., Ghosal, S., Feygin, Y., Creel, L., Myers, J. and Woods, C., 2018, November. 281. Cefdinir Prescribing Increased in Low-Income Children in Kentucky from 2012 to 2016. Open Forum Infectious Diseases (Vol. 5, No. suppl 1, pp. S116-S116). US: Oxford University Press.

Submitted:

• Zawar, I., Quigg, M., Johnson, E. L., Ghosal, S., Calle-Lopez, Y., Hashmi, S. A., Manning, C., Kapur, J. Risk Factors Associated with Late-Onset Epilepsy in People with Dementia: Results from A Longitudinal Multicenter Study.

• Loehr, F. W., Ghosal, S., Urban, A., Ennen, C. Prediction of Gestational Diabetes Mellitus Using Fetal Cardiac Function Parameters: A Pilot Study.

Soon to be submitted:

• Ghosal, S., Gleason, J., Grantz, K. L., Chen, Z. Impact of maternal BMI on the performance of EFW to predict abnormal birthweight categories.

• McCulloh, D. H., Ghosal, S., Combs, J., Hill, M., Cohen, J. Success of Preimplantation Genetic Testing for Aneuploidy (PGT-A) in the United States 2014-2017: Analysis of the SARTCORS Registry.

• Personalized diagnostic screening through ROC modeling. Design and Data Analysis Meeting, Department of Psychology, University of Virginia. October 31, 2024.

• A placement value-based ROC surface spline regression. ICSA 2024 Applied Statistics Symposium, Nashville, TN. June 18, 2024.

• Analyzing the influence of social health determinants on health outcomes through spatial modeling. WNAR/IMS/Graybill Annual Meeting, Colorado State University. June 11, 2024.

• Covariate & disease screening: A statistical perspective. Department of Quantitative Health Sciences, University of Hawaii. March 28, 2024.

• Role of ROC curve in disease prediction. Department of Statistics, Presidency University, Kolkata, India. February 16, 2024.

• Covariate adjustment in the ROC analysis. Department of Statistics, George Washington University. November 3, 2023.

• Importance of covariate adjustment in the ROC analysis (at the following places)

  • • • • Statistics Colloquium, University of Maryland, Baltimore County. April 14, 2023.

        • Department of Statistics Colloquium, University of Virginia. February 24, 2023.

• Impact of maternal BMI on the diagnosis of abnormal birth outcomes. Public Health Grand Rounds, University of Virginia. August 29, 2022.

• Some extensions of ROC curve analysis using placement values (at the following places)

  • • • • The 35th New England Statistics Symposium, University of Connecticut. May 25, 2022.

        • Department of Public Health Sciences, University of Virginia. December 9, 2021.

        • Center for Drug Evaluation and Research (CDER), FDA. December 7, 2021.

        • Merck. December 2, 2021.

        • Center for Biologics Evaluation and Research (CBER), FDA. November 18, 2021.

        • Department of Preventive Medicine, Northwestern University. November 16, 2021.

        • Department of Public Health Sciences, Medical University of South Carolina. October 27, 2021.

        • Department of Biostatistics, University of Alabama at Birmingham. October 15, 2021.

        • Seminar Series, NHLBI. April 29, 2021.

• Placement value-based Bayesian ROC curve methodologies and brief applications on enforcing a priori constraints. Department of Bioinformatics & Biostatistics Seminar Series, University of Louisville. February 5, 2021.

• Bayesian semiparametric regressions to stochastically ordered ROC curves using placement values. Biostatistics & Bioinformatics Virtual Seminar, NICHD. September 18, 2020.

• Spatiotemporal mixed effect modeling and its applications. Department of Bioinformatics & Biostatistics Seminar Series, University of Louisville. January 26, 2018.

• Adjusting for covariates in ROC surface. Joint Statistical Meetings (JSM). August 6, 2024.

• A placement value-based ROC surface regression framework. ENAR. March 11, 2024.

• A spatiotemporal model jointly accounting for multilevel spatial effects and seasonal variability. Joint Statistical Meetings (JSM). August 6, 2023.

• Flexible Lehmann family of ROC curves to evaluate the role of maternal BMI in diagnosing abnormal birth outcomes. 

  • ENAR. March 28, 2022.

  • JSM. August 10, 2021.

• Relation of maternal BMI and discriminative capacity of EFW in predicting abnormal birthweight. ENAR. March 17, 2021.

• A placement value-based ROC surface approach to jointly predict LGA and SGA births. 

  • JSM. August 4, 2020.

  • ENAR. March 24, 2020.

• Assessing discriminatory capacity of estimated fetal weight in predicting abnormal birthweight. NICHD. December 2019.

• Bayesian semi-parametric approach to constrained ROC curves using placement values. JSM. July 28, 2019.

• R in Biowulf. Professional Development Committee Tutorial Session. NICHD. February 2019.

• Generalized Spatiotemporal Additive Model and Its Application to Assessing Overuse of Antibiotics Drugs for Upper Respiratory Tract Infection in Kentucky. Graduate Student Regional Research Conference, Louisville. March 3, 2018.

• Assess Treatment Effects for Multiple Groups for Ordinal Outcome when Confounding Exists. Kentucky ASA Chapter Meeting. March 2, 2018.

• Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data and its Bayesian Analysis. 

  • Joint Statistical Meetings (JSM). July 30, 2017.

  • Kentucky ASA Chapter Meeting. April 21, 2017.

(* indicates the presenter)

• Dirghangi, A., Balkrishnan, R., Ghosal, S., *Patel, R., Assessment of visual impairment risk factors in southwest Virginia: an integrated approach using EHR and SDOH data. ARVO 2024. May 2024.

• *Loehr, F. W., Ghosal, S., Urban, A., Ennen, C., Prediction of Gestational Diabetes Mellitus using Fetal Cardiac Function Parameters: A Pilot Study. UltraCon 2023, American Institute of Ultrasound Medicine (AIUM). March 2023.

• *Ghosal, S., Gleason, J., Grantz, K. L., Chen, Z. Role of maternal BMI on estimated fetal weight in predicting abnormal birthweights: Evidence from the NICHD Fetal Growth Study. New Researchers Conference, George Mason University. August 2022.  

• *Ghosal, S., Chen, Z. Discriminatory capacity of prenatal ultrasound measures for large-for-gestational-age birth: A Bayesian approach to ROC analysis using placement values. NICHD Retreat. November 2019.

•  *Caperell, K., Ghosal, S., Myers, J., Havens-Lastarria, D. Adjunctive intramuscular epinephrine for moderate-to-severe pediatric asthma exacerbation. American Academy of Pediatrics (AAP) National Conference & Exhibition. October 2019.

• *Ghosal, S., Kong, M., Myers, J., Feygin, Y, Lohr, W. D. Assess Treatment Effects for Multiple Groups for Ordinal Outcome when Confounding Exists. ENAR. March 26, 2018.

• *Ghosal, S., Lau, T. S., Gaskins, J., Kong, M. Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data and its Bayesian Analysis. SRCOS SRC 2017. June 6, 2017.

• *Smith, M., Ghosal, S., Liu, R., Feygin, Y., Myers, J., Woods, C. Variation in antibiotic prescribing by region and diagnosis in the pediatric Kentucky Medicaid population. Pediatric Academic Societies (PAS). May 6-9, 2017.