Milan Bimali, Ph.D.

James Selig

Assistant Professor, Department of Biostatistics

 

Other Academic/Research/Policy Affiliations

Member: American Statistical Association

Contact Information

Office: Rahn 3210
Phone: 501-686-8204 Email: MBimali@uams.edu

Education

2015 – Ph.D. (Biostatistics), University of Kansas Medical Center, Kansas City, KS
2012 – MS (Mathematics), Idaho State University, Pocatello, ID
2009 – BS (Statistics), Tribhuvan University, Nepal

Research Interest

High Dimensional Data, Statistical Methods in Medical Research

Recent Publications

  • SG Mansour, J Puthumana, PP Reese, IE Hall, MD Doshi, FL Weng, B Schröppel, H Thiessen-Philbrook, M Bimali, CR Parikh. Associations Between Deceased-Donor Urine MCP-1 and Kidney Transplant Outcomes. Kidney International Reports, Vol. 2, Issue 4, 2017.
  • M Baird, M Bimali, A Cott, M Brimacombe, T Ruhland-Petty, C Daley. Methodological Challenges in Conducting Research with Refugee Women. Issues in Mental Health Nursing 38 (4), 344-351, 2017
  • Hines R.B., Bimali M., Johnson A. M., Bayakly A.R., Collins T.C. Prevalence and Survival Benefit of Adjuvant Chemotherapy in Stage III Colon Cancer Patients: Comparison of Overall and Age-Stratified Results by Multivariable Modeling and Propensity Score Methodology in a Population-Based Cohort, Cancer Epidemiology, Vol 44, Aug. 2016.
  • Brimacombe M., Bimali M., Model Related Instabilities in High Dimensional Linear Models, Journal of Biometrics and Biostatistics, Vol. 7, No. 3, June 2016.
  • Bimali M., Brimacombe M., A Likelihood and Information Based Approach to Clustering, Journal of Probability and Statistical Science, Feb. 2016.
  • Bimali M., Brimacombe M., Information Based Clustering of Gene Expression Signatures in Primary Breast Cancer Patients, In JSM Proceedings. Alexandria, VA: American Statistical Association, 2016.
  • Bimali M., Brimacombe M., Relative Likelihood Differences to Examine Asymptotic Convergence: A Bootstrap/Simulation Approach, Journal of Biometrics and Biostatistics, Vol. 6, No. 1, 2015.
  • Parikh C., Hall I., Bhangoo R.S., Ficek J., Abt P.L., Thiessen-Philbrook H., Lin H., Bimali M., Murray P.T., Rao V., Schroppel B., Doshi M.D., Wend F.L., Reese P.P. Associations of perfusate biomarkers and pump parameters with delayed graft function and deceased-donor kidney allograft function, American Journal of Transplant, Dec., 2015.
  • Bimali M., He J., Association Between Obesity and Cancer: An Analysis Using the Competing Risk Regression Approach, Advances in Epidemiology, 2015.
  • Bimali M., Usset J., Fridely B., RSPS: an R library for Empirical Determination of Statistical Power for RNA-Seq Studies, In JSM Proceedings. Alexandria, VA: American Statistical Association, 2015.
  • Derryberry D., Bimali M., Extending Edwards Likelihood Ratio to the Simple One Sided Hypothesis, Missouri Journal of Mathematical Sciences, Vol. 26, No. 1, 2014.
  • Chalise P., Koestler D., Bimali M., Yu Q., Fridley B., Integrative Clustering Methods for High Dimensional Molecular Data, Translational Cancer Research, Vol. 3, No. 3, June 2014.