Biography

Prof. Ramalingam Shanmugam

School of Health Administration

Texas State University, USA

Professor


Email: rs25@txstate.edu


Qualifications

1979 Ph. D. Temple University, Philadelphia, Pennsylvania, USA

1974 M. S. Rensselaer Polytechnic, Troy, New York

1973 M. S. Brigham Young University, Provo, Utah

1967 M. Sc. University of Madras, India

1965 B.Sc. University of Madras, Madras, India


Publications (Selected)

  1. Shanmugam, R., Beauvais, B., Dolezel, D., Pradhan, R., & Ramamonjiarivelo, Z. (2024). The Probability of Hospital Bankruptcy: A Stochastic Approach. International Journal of Financial Studies, 12(3), 85.
  2. Shanmugam, R., Fulton, L., Kruse, C. S., Beauvais, B., Betancourt, J., Pacheco, G., ... & Sharma, A. (2024). The effect of COVID-19 on cancer incidences in the US. Heliyon, 10(7).
  3. Shanmugam, R., Fulton, L., Kruse, C. S., Beauvais, B., Betancourt, J., Pacheco, G., ... & Sharma, A. (2024). The effect of COVID-19 on cancer incidences in the US. Heliyon, 10(7).
  4. Shanmugam, R., & Singh, K. P. (2023). Transmissibility and Death Index from Pandemic COVID-19 Among Nations Across Continents. In Healthcare Policy, Innovation and Digitalization: Contemporary Strategy and Approaches (pp. 71-104). Singapore: Springer Nature Singapore.
  5. Shanmugam, R., & Singh, K. P. (2021). Structural zero data of COVID-19 discovers exodus probabilities. Journal of Multidisciplinary Healthcare, 1443-1449.
  6. Betancourt, J. A., Granados, P. S., Pacheco, G. J., Reagan, J., Shanmugam, R., Topinka, J. B., ... & Fulton, L. V. (2021, May). Exploring health outcomes for US veterans compared to non-veterans from 2003 to 2019. In Healthcare (Vol. 9, No. 5, p. 604). MDPI.
  7. Shanmugam, R. (2019). A Type-1 Imbalanced Bivariate Poisson Distribution Demystifies Patient’s Phobia Visiting Physician Often and Its Implications. Journal of Statistical Theory and Practice, 13(1), 1.
  8. Shanmugam, R. (2019). Decision making in health and medicine.
  9. Velayutham, B., Chadha, V. K., Singla, N., Narang, P., Gangadhar Rao, V., Nair, S., ... & Natrajan, M. (2018). Recurrence of tuberculosis among newly diagnosed sputum positive pulmonary tuberculosis patients treated under the Revised National Tuberculosis Control Programme, India: A multi-centric prospective study. PLoS One, 13(7), e0200150.
  10. Shanmugam, R.(2015) Curvature Informatics about Medical Errors: Geometric View of Incidence Restricted Poisson,International Journal of Ecological Economics & Statistics, 36 (4), 71-80.
  11. Shanmugam, R.(2015) Shortage, illegal trade, and unmet demand of organ or tissue tranaplant,Journal of Epidemiology & Community Medicine, 1, 1, 1-9.
  12. Shanmugam, R.(2015) Never, once, and repeated illness: a geometric view for insights and interpretations,International Journal of Research in Medical Sciences, 3(6), 1336-1341.
  13. Shanmugam, R.(2015) Refined randomized response model for suspicious answers: Illicit drug users in U.S.A. are illustrated,International Journal of Ecological Economics & Statistics, 36, 15-27.
  14. Shanmugam, R.(2015) Entropy nucleus and use in waste disposal policies,International Journal on Information Theory (IJIT), 4 (2), 1-12.
  15. Zhang, Y., Singh, J. and Shanmugam, R. (2015). Modeling to capture covariate effect, accepted to appear inCommunications in Statistics, 44 (13), 2788-2797.
  16. Shanmugam, R.(2015) Whether Gaussian nucleus entropy helps? Case in point is prediction of number of cesarean births,American Journal of Biostatistics, page numbers are pending.
  17. Shanmugam, R.(2015) Geometric view of odds tilted binomial model and its use to analyze asthma incidences data among monozygotic versus dizygotic twins,International Journal of Medical Science Research and Practice,1 (1), 1-5.
  18. Zhang, Y., Singh, J. and Shanmugam, R. (2014). Modeling to capture covariate effect, accepted to appear inCommunications in Statistics, page numbers are pending.
  19. Shanmugam, R.(2015) Whether Gaussian nucleus entropy helps? Case in point is prediction of number of cesarean births,American Journal of Biostatistics, page numbers are pending.
  20. Shanmugam, R.(2015) Geometric view of odds tilted binomial model and its use to analyze asthma incidences data among monozygotic versus dizygotic twins,International Journal of Medical Science Research and Practice,1 (1), 1-5,2014.
  21. Shanmugam, R.(2014) Health broken woven Poisson spheres to manage deadly Ebola incidences,American Journal of Infectious Diseases, 10, 143-154.
  22. Shanmugam, R.(2014). “Bivariate Distribution” for infrastructures among operative, natural, and no menopauses,American Journal of Biostatistics, 4, 34-44.
  23. Shanmugam, R.(2014). How do queuing concepts and tools help to effectively manage hospitals when the patients are impatient? A demonstration,International Journal of Research in Medical Sciences, 2, 1076-1084.
  24. Shanmugam, R. (2014). A bivariate probability model to identify “honesty” versus “cheating” in economic surveys: Xenophobia is illustrated.Am. J. Econ. Bus. Admin., 6: 42-48.
  25. Shanmugam, R.(2014). C(∝) method to check daunting over/under variances to understand times to aftershocks since a major earthquake,Computer, Electronics, Electrical, and Communication, 59, 190-193.
  26. Shanmugam, R. (2014). Data guided public healthcare decision making,Volume II, Category: Medicare and Healthcare Administration, Encyclopedia of Business Analytics and Optimization, edited by John Wang.pp. 30-43.
  27. Shanmugam, R. (2014). Probing non-adherence to prescribed medicines? A bivariate distribution with information nucleus clarifies,American Medical Journal, 5(2), 56-62.
  28. Shanmugam, R. (2014). Data envelopment analysis for operational efficiency,Volume II, Category: Data Envelopment Analysis, Encyclopedia of Business Analytics and Optimization, edited by John Wang.pp. 18-28.
  29. Singh, H. P., Shanmugam, R., Singh, S., and Kim, J. M. (2014). Estimation of median in the presence of three known quartiles of an auxilary variable,Communication for Statistical Applications and Methods, 21, 1-24.
  30. Shanmugam, R.(2014). Stochastic frontier analysis and cancer survivability,Volume V, Category: Stochastic Models, Encyclopedia of Business Analytics and Optimization, edited by John Wang.pp. 18-26.
  31. Shanmugam, R.(2014). Over/under dispersion sometimes necessitates modifying,International Journal of Statistics and Poisson model with illustration of tetanus cases and deaths after tsunami, International Journal of Ecological Economics & Statistics, 34(3), 37-42.
  32. Shanmugam, R.(2014). Revelation of shrunken or stretched binomial dispersion and public perception of situations, which might spread AIDS or HIV,International Journal of Research in Medical Sciences, 2(2), .462-467.
  33. Shanmugam, R. (2014). Tweaked binomial distribution to capture the impact of drilling to cure bioterror victims in hospitals,International Journal of Statistics and Economics, 13(1), 40-45.
  34. Shanmugam, R.(2014). An assessment of nurses’ sufficient immunity when treating infectious patients using bumped-up binomial model,International Journal of Research in Medical Sciences, 2(1), 132-138,2013.
  35. Furia, J., Willis, B., Shanmugam, R. and Curran, S. (2013). Systematic review of contracture reduction in the lower extremity with dynamic splinting,Advances in Therapy, 30, 763-770.
  36. Shanmugam, R. (2013). Shortage level of matching kidney and pancreas organs for implant is estimated,International Journal of Research in Nursing, 4(2), 40-46.
  37. Shanmugam, R.(2013). Informatics about fear to report rapes using bumped-up Poisson model,American Journal of Biostatistics, 3(1), 17-29.
  38. Shanmugam, R. (2013). Alzheimer’s disease prognosis is captured by a down-upsized incidence Poisson distribution, inAmerican Medical Journal, 4(2), 150-159.
  39. Shanmugam, R. (2013). Does smoking delay pregnancy? Data analysis by a tweaked geometric distribution answers,International Journal of Research in Medical Sciences, 1(4), 343-348.
  40. Shanmugam, R. (2013). Tweaking exponential distribution to estimate the chance for more survival time if a cancerous kidney is removed,International Journal of Research in Nursing, 4(1), 29-33.
  41. Shanmugam, R(2013). Unified survival functions are derived and illustrated using hospitals’ preparedness data to treat anthrax cases,International Journal of Statistics and Economics, 12(3)., 82-95.
  42. Shanmugam, R. (2013). Probabilistic health-informatics and bioterrorism,International Journal of Communication and Computer, 10, 28-32.
  43. Shanmugam, R. (2013). Hacking-Vigilance distribution with application to assess cyber insecurity level,International Journal of Information and Education Technology, 3 (3), 300-303.
  44. Shanmugam, R. (2013). Alternate to traditional goodness of fit test with illustration using service duration to patients in hospitals,International Journal of Statistics and Economics, 11(2)., 31-43.
  45. Shanmugam, R. (2013). Odds to quicken reporting already delayed cases: AIDS incidences are illustrated,International Journal of Nursing in Research, 4(1), 1-13.
  46. Shanmugam, R. (2013). Is cancer recurrence postponed by a treatment? A new model answers,American Medical Journal, 4(1), 43-62.
  47. Shanmugam, R. (2013). Mosaic masonries to interpret diagnostic test results, American Medical Journal, 4(1), 12-20.
  48. Shanmugam, R. (2013). Does over or under dispersion in inverse binomial data suggest anything? A case in point is the waiting time for both heart-lung transplants, American Journal of Biostatistics, 3 (2), 30-37.
  49. Furia J, Willis B, Curran S, and Shanmugam R. “Meta-analysis in Contracture Reduction of the Lower Extremity” Presented as a refereed article at American College of Sports Medicine, Annual Conference 2013.


Profile Details

https://faculty.txst.edu/profile/1921815
https://scholar.google.com/citations?user=Os1F-W8AAAAJ&hl=en
https://www.researchgate.net/scientific-contributions/Ramalingam-Shanmugam-2225466283

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