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Academic Staff

Freedom N. Gumedze

Office: PD Hahn 6.63
Tel: +27 21 650 4783
Email: freedom.gumedze@uct.ac.za

Position: Associate Professor

Research Interests: Development and application of statistical methods in health sciences research, especially but not exclusively in the areas of dermatology, cardiology. The theoretical aspects of my research work involves the development of methods for the analysis of multivariate longitudinal or repeated measures data including methods for the detection of outliers/robust estimation, survival analysis, joint analysis of longitudinal data and survival data, competing or semi-competing risks, models for recurrent events, design and analysis of clinical trials, meta-analysis and statistical methods for medical diagnosis data. I collaborate with leading medical researchers in cardiology, dermatology and infectious diseases (HIV and TB). My role in these collaborations is to provide statistical input at planning and statistical analysis stages of the research.


Courses Taught

  • STA1006S – Mathematical Statistics I
  • STA2030S – Theory of Statistics
  • STA2005S – Linear Models
  • STA2004F – Statistical Theory and Inference
  • STA3030F – Inferential Statistics
  • Biostatistics - (BSc. Honours in Statistics) 
  • Theory of Statistics B - (BSc. Honours in Statistics) 
  • STA5057W- Survival Analysis (MSc. in Biostatistics)

Biographical Information

I obtained a BA degree (1993) from the University of Swaziland, BSc (Hons.) (1997), MSc in Mathematical Statistics (1999) and Ph.D. in Statistical Sciences (2009) from the University of Cape Town. In 2005, I was awarded a Commonwealth Scholarship to work on my Ph.D. at Rothamsted Research, Harpenden, UK. 

I am currently an Associate Professor in the Department of Statistical Sciences at the University of Cape Town. I am also a Student Advisor in the department. I am a C-rated researcher by the National Research Foundation of South Africa. I am a holder Newton Advanced Fellowship, awarded by the Academy of Medical Sciences, UK; held jointly with Prof. Jane Hutton of the University of Warwick, UK. The project title for this fellowship is "Robust statistical methods and statistical diagnostic techniques for multivariate longitudinal and survival data in health research". I am a statistical reviewer for several medical journals and statistical journals, and research funding bodies including the NRF.

I currently serve on both the executive board of the International Biometric Society and the executive committee of the South African Statistical Association. 


Publications since 2014

  • Gumedze, F. (2019). Use of likelihood ratio tests to detect outliers under the variance shift outlier model. Journal of Applied Statistics, 46(4), 598-620.
  • Iddrisu, A-K and Gumedze, F. (2019). Application of sensitivity analysis to incomplete longitudinal CD4 count data. Journal of Applied Statistics46(4), 754-769.
  • Iddrisu, A-K and Gumedze, F. (2018). Pattern-mixture model with multiple imputation as a practical approach to estimation and inference (Accepted: BMC Medical Research Methodology, November 2018).
  • Sadiq, H., Barnes, K.I., Price, M., Gumedze, F. and Morrell, R.G. (2018). Academic promotions at a South African University: Questions of bias, politics and transformation. Higher Education.
  • Singini, I, Mwambi, H. and Gumedze, F. (2018). Diagnostics for detecting influential observations in joint survival models. Proceedings of the 60th Annual Conference of SASA, 49-60.
  • Spengane Z, Korsman S, Mkentane K, Davids LM, Nicol MP, Zemanay W, Africa S, Mbhele S, Gumedze F, Fick L, Hendricks L, Nierman W and Khumalo NP. (2018). Blood and virus detection on clippers after routine cleaning by barbers: the clipper-swop study. South African Medical Journal. South African Medical Journal,108(4), 278-282.
  • Mkentane, K., Van Wyk, JC., Sishi, N., Gumedze, F., Ngoepe, M, Davids, LM. (2017). Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups. PloS One12(6), e0172834
  • Wiysonge C.S., Ntsekhe M., Thabane L., Volmink J., Majombozi D., Gumedze F., Pandi S., Mayosi B.M. (2017). Corticosteroids and other interventions for treating tuberculous pericarditis. Cochrane Database of Systematic Reviews, Issue 9. Art. No.: CD000526.
  • Eldridge, S.M. , Claire L Chan, Michael J Campbell, Christine M Bond, Sally Hopewell, Lehana Thabane, Gillian A Lancaster on behalf of the PAFS consensus group. (2016). CONSORT 2010 Statement: extension to randomised pilot and feasibility trials. Pilot and feasibility studies(1), 64
  • Gumedze, F.N. and Chatora, T.D. (2014). Detection of outliers in longitudinal count data via overdispersion. Computational Statistics and Data Analysis79, 192-202.
  • Mayosi, B.M., Ntsekhe, M., Bosch, J, Pandie, S., Francis, V., Joldersma, L., Gumedze, F., Jung, H., Pogue, J., Thabane, L., Smieja, M., Francis, V., Joldersma, L. and Yusuf, S. for The IMPI Trial Investigators. (2014). Prednisolone and Mycobacterium indicus pranii in Tuberculous Pericarditis. New England Journal of Medicine371, 1121-1130.

A full list of my publications are available at: https://scholar.google.co.za/citations?user=44acvnkAAAAJ&hl=en