Dr. Rasim M Musal

  • Associate Professor at Dept of Information Systems & Analytics, McCoy College of Business

Scholarly and Creative Works

2025

  • McCurdy, K. W., & Musal, R. M. (n.d.). Prediction of Maximal Vertical Jumps during the Entire Season in NCAA Division 1 Women Basketball Players. International Journal of Strength and Conditioning.

2023

  • Elizondo, M., Musal, R. M., & Tesic, J. (2023). Clinical Tabular Data in the Wild: A Data Science Perspective. Retrieved from https://ieeeichi.github.io/ICHI2023/

2022

  • Ekin, T., & Musal, R. M. (2022). Integrated statistical and decision models for multi-stage health care audit sampling. Journal of Applied Statistics, 49(9), 2307–2325.
  • Musal, R. M., Ekin, T., & Aktekin, T. (n.d.). Bayesian Spatial Analysis of Socioeconomic Determinants on COVID-19 Mortality. Journal of Applied Statistics.

2019

  • Ekin, T., Lakomski, G., & Musal, R. (2019). An Unsupervised Bayesian Hierarchical Method for Medical Fraud Assessment. Statistical Analysis and Data Mining, 12, 116–124.

2018

  • Musal, R., & Ekin, T. (2018). Information Theoretic Multi-Stage Sampling Framework for Medical Audits. Applied Stochastic Models in Business and Industry, 34, 893--907.

2017

  • Musal, R., & Ekin, T. (2017). Medical Overpayment Estimation: A Bayesian Approach. Statistical Modelling, 17(3), 196–222.
  • Musal, R. M., & Ekin, T. (2017). Medical overpayment estimation: A Bayesian approach. Statistical Modelling, 17(3), 196–222. https://doi.org/10.1177/1471082x16685020

2015

  • Ekin, T., Musal, R., & Fulton, L. (2015). Overpayment Models for Medical Audits: Multiple Scenarios. Journal of Applied Statistics, 42(11), 2391–2405.
  • Ekin, T., Musal, R., & Fulton, L. (2015). Overpayment Models for Medical Audits: Multiple Scenarios. Journal of Applied Statistics, 42(11), 2391–2405. https://doi.org/https://doi.org/10.1080/02664763.2015.1034659 JCR IF:  .8
  • Musal, R., & Aktekin, T. (2015). Analysis of Income Inequality Measures on the HIV Mortality: a Bayesian Perspective. Journal of the Royal Statistical Society A.

2014

  • Musal, R., & Soyer, R. (2014). Estimation of Group Priorities and Value of Information. Journal of Multi-Criteria Decision Analysis, (21), 173–181.

2013

  • Fulton, L., Bastian, N., Mendez, F., & Musal, R. (2013). Rainwater harvesting system using a non-parametric stochastic rainfall generator. Simulation, 89(6), 693–702.
  • Fulton, L., Mendez, F., Bastian, N. D., & Musal, R. (2013). Rejoinder to Letter to the Editor: Confusion Between Odds and Probability, a Pandemic? Journal of Statistics Education, 21(1). Retrieved from http://www.amstat.org/publications/jse/v21n1/fulton_rejoinder.pdf
  • Musal, R. M., & Temponi, C. C. (2013). Text Mining via Hierarchical Bayesian Methods: The case of the small samples, 54(2).
  • Musal, R., & Aktekin, T. (2013). Bayesian Spatial Modeling of HIV Mortality via Zero-inflated Poisson Models. Statistics in Medicine, 32(2), 267–281. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/sim.5457/abstract

2012

  • Fulton, L., Musal, R., & Mendez, F. (2012). Construction Analysis of Rainwater Harvesting Systems (pp. 1–11). Proceedings of the 2012 Winter Simulation Conference. Retrieved from http://dl.acm.org/citation.cfm?id=2429831
  • Fulton, L., Mendez, F., Bastian, N. D., & Musal, R. (2012). Confusion Between Odds and Probability, a Pandemic? Journal of Statistics Education, 20(3), 1–15.
  • Fulton, L., Bastian, N., & Musal, R. (2012). Grade Performance In Statistics: A Bayesian Framework. Journal of the Academy of Business & Economics, 12(5), 55–62.
  • Musal, R., Soyer, R., McCabe, C., & Kharroubi, S. A. (2012). Estimating the Population Utility Function: A Bayesian Parametric Approach. European Journal of Operational Research, 218(2), 538–547.

2011

  • Fulton, L., Ivanitskaya, L., Musal, R., & Erofeev, D. (2011). Comparing Traditional Teaching Methods with Variable Certification Requirements in Computer-Assisted Instruction - A Two Instructor Study (pp. 800–808). Proceedings For The Northeast Region Decision Sciences Institute. Retrieved from http://www.nedsi.org/proc/2011/proc/p101201003.pdf
  • Fulton, L., Musal, R., & Wierschem, D. (2011). Phishing for Scam: an Experimental Design (pp. 611–614). Proceedings For The Southwest Region Decision Sciences Institute. Retrieved from http://www.swdsi.org/swdsi2011/2011_SWDSI_Proceedings/papers/papers/PA151.pdf
  • Fulton, L., Musal, R., Ivanitskaya, L., & Haidar, S. (2011). The Effects of Computer Assisted Instruction and Variable Certification Requirements on Student Performance in Undergraduate Statistics Classes (pp. 3470–3475). International Academy of Technology, Education and Development. Retrieved from http://library.iated.org/?search_text=publication%3AINTED2011&adv_title=&rpp=25&adv_authors=&adv_keywords=&orderby=page&refined_text=musal
  • Fulton, L. V., Musal, R. M., Ivanitskaya, L., & Haidar, S. (2011). The Effects of Computer-Assisted Instruction and Variable Certification Requirements on Student Performance in Undergraduate Statistics Classes. In INTED2011 Proceedings (pp. 3470–3475).
  • Fulton, L., Musal, R., Ivanitskaya Lana, Salma Haidar, & Carl Lee. (2011). Bayesian Hierarchal Models Of Final Exam Grades In Statistics Classes, A Two-University Study. Retrieved from https://ww2.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=301988
  • Musal, R., & Soyer, R. (2011). Bayesian Modeling of Health State Preferences. (N. Balakrishnan, M. S. Nikulin, & V. Rykov, Eds.) (1st ed., Vol. 36, p. 9). Basel, Switzerland: Birkhauser. Retrieved from www.springerlink.com/content/978-0-8176-4970-8

2010

  • Musal, R. (2010). Two Models to Investigate Medicare Fraud within Unsupervised Databases. Expert Systems with Applications, 37(12), 8628–8633. Retrieved from http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V03-50G696B-X&_user=10&_coverDate=12%2F31%2F2010&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=14f1fadbb51ae7fbbb54d2a2677e1b49