Staff Profiles

Dr. Keamogetse Hosia-Setlhare

Dr Keamogetse Setlhare

Faculty of Social Sciences


Senior Lecturer

Location: Block 247 office 445
Phone: +267 3555014
Email Dr. Keamogetse Hosia-Setlhare

PhD. (2007), University of Pretoria, RSA

 MSc. (1995), University of Wales, Cardiff

 BA. (1991), University of Botswana


Keamogetse Setlhare is Senior Lecturer in the Department of Statistics, University of Botswana. She has a teaching career spanning over a period of 25 years. She has published in in a number of journals  in  the areas of Stochastic Manpower Planning, Health Statistics and Operations Research. Apart from working for the University of Botswana Dr Setlhare is also a member of Professional bodies such as Operations Research Society of South Africa (ORSSA), American Statistical Association,  International Biometric Society (IBS).



  • Operations Research
  • Statistical Methods
  • Stochastic Processes
  • Probability
  • Statistical Distributions

 My research interest lies in the development and application of statistical methods in health sciences research, in particular MCOD, Operations Research  and Stochastic Manpower Planning





  • Ms Saara Nghidishange
  • Mr. Tumisang Kolaagano


  • PhD
  • Mr Simeon Olawuwo (2020)


  • Mr .Khaufelo Lekobane  (2009)
  • Ms Gomotsegang Khudu (2018)

  • Simeon Olawuwo, N. Forcheh & K. Setlhare (2018). Individual, Household and Community-Level Effects of Infant and Child Mortality in Nigeria: A Logistic Regression Approach. Global Journal of Health Sciences; Vol. 10 (10).
  • Sediakgotla K., Gabaitiri L., Setlhare K., Ama, N.O. and Shangodoyin, D.K. (2017) The Analysis of Higher Dimensional Contingency Table with Interactions. American Journal of Applied Sciences, Vol. 14(8), pgs 823-827.
  • Yadavalli VSS and Setlhare K (2010). Non-Markovian Model of an intermittently Busy Manpower System. Proceedings IEEE, The 40th International Conference on Computers and Industrial Engineering (CIE 40), July 2010, Awaji Island , Japan.
  • Setlhare K.(2009) Maximum Likelihood estimation of Parameters of the Power Generalised Inverse Gaussian Distribution. Botswana Institute of Engineers, Journal of Engineering and Sciences (JEAS), Vol. 1(1) . ISSN 1999-2602

In pursuit of academic excellence