Department of Statistics

Prof Legesse Kassa Debusho

College of Science, Engineering and Technology
School of Science
Department: Statistics
Associate Professor
Tel: 011 670 9256
E-mail: debuslk@unisa.ac.za

Qualifications

  • PhD in Statistics, University of Kuwa-Zulu Natal (former University of Natal), South Africa
  • MSc in Statistics, Addis Ababa University, Ethiopia
  • BSc in Statistics, Addis Ababa University, Ethiopia

NRF Rating

C3

Fields of academic interests

  • Design of experiment
  • Longitudinal data analysis
  • Spatial statistics
  • Extreme value analysis
  • Multivariate statistical analysis
  • Generalized linear models
  • Generalized linear mixed effects model
  • Nonparametric regression models

Field of Specialisation

  • Statistics

Journal articles

  1. Tafere Tilahun Aniley, Legesse Kassa Debusho, Zelalem Mehari Nigusie, Wondwosen Kassahun Yimer and Belay Birlie Yimer (2019). A semi-parametric mixed models for longitudinally measured fasting blood sugar level of adult diabetic patients. Journal of Medical Research Methodology, doi.org/10.1186/s12874-018-0648-x.
  2. Legesse Kassa Debusho, Dibaba Bayisa Gemechu and Linda M. Haines (2018). Algorithmic Construction of Optimal Block Designs for Two-Colour cDNA Microarray Experiments Using the Linear Mixed Effects Model. Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2018.1429617.
  3. Tesfamariam, E. H., Annandale, J. G., Steyn, M. J., Truter, W. F., Debusho, L. K. and Talore, D. G. (2018), Yield, resource use efficiency and trace metal uptake of weeping lovegrass grown on municipal sludge-amended soil. J. Sci. Food Agric, 98: 478–486. doi:10.1002/jsfa.8484
  4. Tadele Akeba Diriba, Legesse Kassa Debusho, Joel Botai, Abubeker Hassen (2017). Bayesian modelling of extreme wind speed at Cape Town, South Africa. Environmental and Ecological Statistics, 24:243–267.
  5. Eyob H Tesfamariam, John G Annandale, Martin J Steyn, Wayne F Truter, Legesse K Debusho and Deribe G Talore (2017). Yield, resource use efficiency, and trace metal uptake of weeping lovegrass grown on municipal sludge-amended soil, Journal of The Science of Food and Agriculture (wileyonlinelibrary.com) DOI 10.1002/jsfa.8484
  6. Oore-ofe O. Olumuyiwa-Akeredolu, Prashilla Soma, Antoinette V. Buys, Legesse Kassa Debusho and Etheresia Pretorius(2017). Characterizing pathology in erythrocytes using morphological and biophysical membrane properties: Relation to impaired hemorheology and cardiovascular function in rheumatoid arthritis. BBA – Biomembranes, 1859 (12): 2381-2391.
  7. Malose Makhubela and Legesse Kassa Debusho (2016). Factorial invariance and latent mean differences of the BDI-II across gender in South African university students. Journal of psychology in Africa, pp 522-526.
  8. Legesse Kassa Debusho and Tadele Akeba Diriba (2016). Bayesian modelling of summer daily maximum temperature data. Proceedings of the 4th International Conference on Mathematical, Computational and Statistical Sciences, pp. 126-133. ISBN: 978-1-61804-367-2.
  9. Gemechu, B.D., Debusho, L. K. and Haines, L. M. (2015). A- and D-optimal row-column designs for two-colour cDNA microarray experiments using linear mixed effects models. South African Statistical Journal, 49, 153–168.
  10. Legesse Kassa Debusho, Dibaba Bayisa Gemechu and Linda M. Haines (2015). Properties of A- and D-optimal row-column designs for two-colour microarray experiments: Robustness against missing arrays and efficiency.  Proceedings of the 57th Annual Conference of the South African Statistical Association (SASA 2015). pp. 33-39. ISBN: 978-1-86822-670-2.
  11. Tadele A. Diriba, Legesse Kassa Debusho and Joel Botai. (2015). Modeling extreme daily temperature using generalized pareto distribution at Port Elizabeth, South Africa. Proceedings of the 57th Annual Conference of the South African Statistical Association (SASA 2015). pp. 41-48. ISBN: 978-1-86822-670-2.
  12. Makola, L., Mashegoane, S. and Debusho, L.K. (2015). Work-family and family-work conflicts amongst African nurses caring for patients with AIDS. Curationis 38(1), Art. #1436, 8 pages.
  13.   Legesse Kassa Debusho, Linda M. Haines and Dibaba Bayisa  Gemechu (2014). Optimal Factorial Designs for Two-colour Microarray Experiments: Properties of Admissible designs, A-, D- and E-optimality Criteria. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahmstown, South Africa. pp 17-24, ISBN: 978-1-86822-659-7.
  14. Dibaba Bayisa Gemechu, Legesse Kassa Debusho and Linda M. Haines (2014). A-optimal designs for two-colour cDNA microarray experiments using the linear mixed effects model. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahmstown, South Africa. pp 33-40, ISBN: 978-1-86822-659-7.
  15. Tadele A Diriba, Legesse Kassa Debusho, Joel Botai and Abubeker Hassen (2014). Analysis of Extreme Rainfall at East London, South Africa. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahmstown, South Africa. pp 25-32, ISBN: 978-1-86822-659-7.
  16. Legesse K. Debusho and Gamu Chibayambuya (2013). Efficient Response Surface Designs with unknown Block Size. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2013 (SASA 2013). November 2013, University of Limpopo, The Ranch, Polokwane, South Africa. ISBN: 978-1-86822-649-8. 

Paper presentations

International conferences

  1. “Spatio-temporal quantile interval regression using R-INLA with applications to childhood overweight and obesity in sub-Saharan Africa”, The XXIX International Biometric Conference, 7-15 July 2018, Barcelona, Spain.
  2. “A semi-parametric Linear Mixed Models for Longitudinally measured Fasting Blood Sugar Level of Adult Diabetic Patients”, International Biometric Society - Australasian Region 2017 Conference, 25-30 November 2017 at Mantra on Salt Beach located at Gunnamatta Avenue, Kingscliff, New South Wales, Australia.
  3. “Algorithmic Construction of Optimal Block Designs for Two-Colour cDNA Microarray Experiments Using the Linear Mixed Effects Model”, The 9th Conference of the Eastern Mediterranean Region and the Italian region of the International Biometric Society, May 8-12, 2017 at the MET hotel, Thessaloniki, Greece.
  4. “Algorithms for Construction of Optimal Block and Row-Column Designs for Two-Colour cDNA Microarray Experiments”, The XXVII-th International Biometric Conference, 10-15 July, 2016 at the Victoria Conference Centre in Victoria, British Columbia, Canada.
  5. “Analysis of Extreme Rainfall at East London, South Africa”, The 8th Conference of the Eastern Mediterranean Region of the International Biometric Society (EMR-IBS), May 11-15, 2015 in Cappadocia, Turkey.
  6. “Algorithms for Construction of Optimal block designs for two-colour cDNA microarray experiments”, The 8th Conference of the Eastern Mediterranean Region of the International Biometric Society (EMR-IBS), May 11-15, 2015 in Cappadocia, Turkey.

Professional positions, fellowships & awards

  • International Biometric Society Strategic Issues Committee from 2014 - 2017.
  • A member of the Awards Fund Committee for International Biometric Society from 2010 - 2013.
  • Received the 2008 Herbert Sichel Medal award from the South African Statistical Association (SASA) in year 2009 for best article published by SASA members in year 2008.

Projects

  • Optimal designs for the quadratic regression model with a random intercept term: The major objective of the research is to construct optimal designs for quadratic regression model with random intercept, optimal designs for estimation of variance components and prediction of random effects for a linear mixed model.
  • Optimal designs for microarrays: The main aim of the project is to develop optimal designs for microarray experiments using a mixed effects model setting by introducing at least the array effects as random.
  • Algorithms and Software to compute Optimal Designs for Microarray Experiments: The objective of this project is to provide new and improved statistical and computational tools (i.e. computer packages) using Rfor designing optimal designs for microarray experiments. 

Other

R packages

  • Gemechu, D. B., Debusho, L. K., and Haines, L. (2018). factoptd: Factorial optimal designs for two-colour cDNA microarray experiments. Retrieved from https://CRAN.R-project.org/package=factoptd  (R package version 1.0.3).
  • Debusho, L. K., Gemechu, D. B., and Haines, L. (2017). optrcdmaeAT: Optimal row-column designs for two-colour cDNA microarray experiments. Retrieved from https://CRAN.R-project.org/package=optrcdmaeAT (R package version 1.0.0).
  • Gemechu, D. B., Debusho, L. K., and Haines, L. (2017). soptdmaeA: Sequential optimal designs for two-colour cDNA microarray experiments. Retrieved from https://CRAN.R-project.org/package=soptdmaeA (R package version 1.0.0).
  • Gemechu, D. B., Debusho, L. K., and Haines, L. (2017). optbdmaeAT: Optimal block designs for two-colour cDNA microarray experiments. Retrieved from https://CRAN.R-project.org/package=optbdmaeAT (R package version 1.0.1).