Prof PM Njuho

• PhD Statistics  (Kansas State University, USA)
• MSc Statistics (North Carolina State University, USA)
• BSc (Hons) Mathematics and Statistics (University of Nairobi, Kenya)

• Application of mixed models to on-farm experiments
• Design and analysis of population-based surveys and experimental studies involving qualitative and quantitative methods
• Survey designs
• Applied multivariate analysis
• Analysis of complex agricultural and animal experiments
• Spatial variation in agricultural field experiments
• Medical statistics
• Linear mixed models

• Linear models
• Biometrics
• Statistical modelling

• Shoko, C & Njuho, PM (2023). ARIMA Model in Predicting of COVID-19 Epidemic for the Southern Africa Region. African Journal of Infectious Diseases (AJID). 17(1), pp 1-9. https://doi.org/10.21010/Ajidv17i1.1
• Njuho, PM & Haankuku, UN. (2022). HIV Infection Progression Monitoring System Based on CD4 Counts and Wishart Distribution. AIDS Research and Human Retroviruses 743-752. http://doi.org/10.1089/aid.2021.0118
• Chaka, L & Njuho, PM. (2022). Repeated-Measures Analysis in the Context of Heteroscedastic Error Terms with Factors Having Both Fixed and Random Levels. Stats 5(2):458-476. https://doi.org/10.3390/stats5020027

• Chaka, L. & Njuho, PM. (2022). Repeated-Measures Analysis in the Context of Heteroscedastic Error Terms with Factors Having Both Fixed and Random Levels. Stats 2022, 5(2), 458-476. https://doi.org/10.3390/stats5020027. Published online: 6 May 2022.

• Njuho, PM & Haankuku, UN (2022). Proposed HIV disease progression monitoring system based on CD4 counts and Wishart-multivariate distribution. AIDS Research and Human Retroviruses Journal. Publish Online. https://doi.org/10.1089/AID.2021.0118. On 18 April 2022.

• Shoko, C, Sigauke, C & Njuho, PM (2022). Short-term forecasting of confirmed daily COVID-19 cases in the SADC region. African Health Sciences Journal (WKR0-2021-09-1566). Accepted.

• Shoko, C & Njuho, PM (2022). ARIMA Model in Predicting of COVID-19 Epidemic for the Southern Africa Region. African Journal of Infectious Diseases (AJID). Accepted.

• Chaka, L & Njuho, PM. (2021). Construction of a linear mixed model with each factor having both fixed and random levels: A case of split-split plot structure in a RCBD. International Journal of Agricultural and Statistical Sciences. Vol.17(2), pp 501-518.

• Kanyama, BJ & Njuho, PM. (2021). A Comprehensive Approach for Integrating Meta-analysis into Structural Equation Modelling: Case of Food Production. International Journal of Agricultural and Statistical Sciences. Vol.17(2), pp 479-492.

• Haankuku, UN & Njuho, PM. (2021). The estimation of transmitted drug resistance mutations strains probability in the treatment of HIV using the beta-binomial model.  AIDS Research and Human Retroviruses Journal. Vol. 37(6), pp 468-477. Published online: 16 November 2020. https://doi.org/10.1089/AID.2020.0166.

• Kanyama BJ & Njuho, PM. (2020). Use of linear mixed effects model in meta-analysis for studies with multiple outcomes. International Journal of Agricultural and Statistical Sciences. Vol. 16 (1), pp11-21.

• Omolo, BO & Njuho, PM. (2020). Adverse Event Risk Assessment on Patients Receiving Combination Antiretroviral Therapy in South Africa. International Journal of Statistics in Medical Research. Vol 9, pp10-19. E-ISSN: 1929-6029/20.

• Sebjante PN., Njuho, PM., & Tsotetsi-Khambule, A. (2018). Statistical models for helminth faecal egg counts in sheep and goats. Small Ruminant Research Journal. (https://doi.org/10.1016/j.smallrumres).

• Nonyana, JZ & Njuho, PM., (2018). Modelling the length of time spent in unemployment state. South Africa Journal of Science, 114(11/12), Art. # 4313, 1-7. (doi.org/17159/sajs.2018/4313).

• Njuho, PM., & Davids, A. (2012). Patterns of physical assaults and state of healthcare systems in South African Communities: findings from 2008 Population-Based National Survey. South African Journal of Psychology, Vol. 42(2), pp 270-281.

• Fraser-Hurt, N., Zuma, K. Njuho, PM., Chikwava, F., Slaymaker, E., Hosegood, V., and  Görgens, M. (2011). The HIV epidemic in South Africa: What do we know and how has it changed?World Bank Report. 220 pages.

• Peltzer, K., Davids, A. & Njuho, PM. (2011). Alcohol use and problem drinking in South Africa: findings from a national population-based survey. African Journal of Psychiatry, 14:30-37.

• Usman, M, Njuho, PM., Elfaki, F., Ahmed, M., and Daoud, JI. (2011). The combination of several RCBDs. Australian Journal of Basic and Applied Sciences, 5 (4). pp. 67-75. ISSN 1991-8178.

• Njuho, PM., and Davids, A. (2010). Extent and Influence of Recreational Drug Use on Men and Women Aged 15 Years and Older in South Africa. African Journal of Drug & Alcohol Studies,9(1), Pp 33-48.

• Njuho, PM., and Milliken, GA. (2009). Analysis of Linear Models with Two Factors Having Both Fixed and Random Levels. Journal of Communications in Statistics Theory and Methods, 38(14), Pp 2348-2365.

• Girma, TA., & Njuho, PM. (2008). Smoothing fertility trends in agricultural field experiments. Statistics: A Journal of Theoretical and Applied Statistics. Vol. 43(3), Pp 275-289.

• Girma, TA., & Njuho, PM. (2008). Monitoring field variability using confidence interval for coefficient of variation. Journal of Communications in Statistics Theory and Methods. Vol. 37(6), Pp 831-846.

• Girma, TA, & Njuho, PM. (2007). Improvement on Papadakis covariate to account for spatial variation. Journal of Agricultural, Biological, and Environmental Statistics. Vol. 12, No. 3, Pp.397-413.

• Njuho, PM. (2007). Book review. Dose finding in drug development (N. Ting, Ed). Biometrics 63, Pp 300-308.

• Njuho, PM., and Mwambi, HG. (Ed.) (2007). Biometry in poverty alleviation programmes. SUSAN 2003 Conference Proceedings. Proceedings of the Eighth Scientific Conference of the Sub-Saharan Africa Network of the IBS. University of KwaZulu-Natal, Pietermaritzburg. South Africa. July 7 – 11, 2003. University  of KwaZulu-Natal, Publication Unit. 263 pages.

• Njuho, PM. (2007). Book review. Dose finding in drug development (N. ting, Ed). Biometrics 63, 300-308.

• Njuho, PM. and Milliken GA. (2005) Analysis of Linear Models with One Factor Having Both Fixed  and Random Levels. The Journal of Communications in Statistics-Theory and Methods. Vol.34(9) Pp 1-11

• Girma, T A, Yohannes Tilahun, G\Medhin W\Giorgis, Tefera Asamnew & Njuho, PM. (2002). Optimum plot block dimensions and effect of plot shape on significance tests in potato. Journal of the Ethiopian Statistical Association, Vol. XII, Pp 39-59.

• Njuho, PM. (1999). Integration of biometrics in the development and transfer of demand-driven technologies in Kenya Agricultural Research Institute (KARI). Towards increased use of demand driven technology, KARI/DFID NARP II Project End of Project Conference Proceedings, 23-26^th  March 1999, Nairobi, Kenya. Pp 537-540.

• Njuho, PM., & Chui, JN. (1999). Understanding on-farm trials variability through coefficient of variation. Journal of tropical forest resources. Vol. 15 (no.2). Pp. 84-92.

• Mwangi, JA, Warui, C., & Njuho, PM. (1999). A nonlinear model for the pattern of knockdown data. Journal of tropical forest resources. Vol. 15 (no.2). Pp. 115-120.

• Dicks, HM., & Njuho, PM. (1999). The South African Perspective –Opportunities in Biometry.  Rowlands G. J. (2000). Enhancement of Capacity in Applied Biometry in East and Southern Africa. Proceedings of an International Livestock Research Institute (ILRI) workshop held at ILRI, Nairobi, Kenya 7-9 December 1999. Pp. 55-58.

• Njuho, PM. (1998). Statistical issues related to on-farm trials. Association for farming systems research extension (AFSRE). 15^th International Symposium. Proceedings volume 2. 29 November- 4 December 1998, Pretoria, South Africa. Pp 837-842.

• Njuho, PM. (1998). Some statistical consideration to on-farm trials in Kenya. Proceedings of the 1998, Kansas State University Conference on Applied Statistics in Agriculture.  Pp 226-236.

• Njuho, PM. and Milliken, GA. (1995). Mixed models approach to on-farm trials: An alternative to meta-analysis for comparing one treatment to possibly different controls. Proceedings of the 1995, Kansas State University Conference on Applied Statistics in Agriculture.  Pp 196-213.

• Okalebo, JR., Njuho, PM., & Gathua, KW. (1990). Effects of form and method of phosphate fertilizer application on maize, sorghum and millet growth in semi-arid environment of Kenya. I. Effect on maize and sorghum. East African Agricultural and Forestry Journal  Vol. 55(4):227-238. 

• Okalebo, JR., Njuho, PM., & Gathua, KW. (1990). Effects of form and method of phosphate fertilizer application on maize, sorghum and millet growth in semi-arid environment of Kenya. II. Effect on maize and sorghum. East African Agricultural and Forestry Journal  Vol. 55(4):239-248.

• Odongo, N., & Njuho, PM. (1990). The effects of mixture of milk and gruel on calf performance. East African Agricultural and Forestry Journal  Vol. 56(2):43-50. 

• Theuri, M., & Njuho, PM. (1989). Effect of sunflower yellow blotch virus on the yield of sunflower (Helianthus annuls L.) in Kenya. East African Agricultural and Forestry Journal Vol. 35(1):23-31.

• Theuri, M., & Njuho, PM. (1989). A note on the effect of sunflower yellow blotch virus on the yield of sunflower in Kenya. East African Agricultural and Forestry Journal Vol. 55(1):41-43. 

• Nelson, LA., Njuho, PM., Proctor, CH., & Stevens, JR. (1988). Statistical methodology for setting legal allowances for nutrient contents of bagged fertilizer materials in the State of North Carolina. Fertilizer Research 18:71-99. Printed in Netherlands.

Technical Reports

• Dlamini, V.C., Banoo, S., Fyzoo, F., & Njuho, PM. (2014). Antiretroviral cohort adverse event monitoring in Kwazulu-Natal. System for Improved Access to Pharmaceuticals and Services. Management Sciences for Health (www.siapsprogram.org).

• Berrada, S., Mkandawire, T., Kamungoma, D., Njuho, P., Thipa, N., Pinini, Z., Nkambule, N & Sallet, JP (2013). What are the reasons for switching ART patients to second-line regimen in public healthcare settings in Gauteng. (Research Report: MSHSAGP001, www.siapsprogram.org).

• Swartz, S., Naidoo, P., Bray, R., Sanger, N., Garzouzie, G., Peltzer, K., Ramlagan, S., Mlambo, M., Louw, J.S., Mchunu, G., Zuma, K., Seutlwadi, L., Tutshana, B., Matseke, G., Chirinda, W., Njuho, PM. & Satekge, M. (2012). Evaluating the value that young people attach to LoveLife and investigating factors impacting the life choices and risk tolerance of youth. (Commissioned by LoveLife, February. Site: www.hsrc.ac.za).

• A member of the selection commission for VLIRUOS projects, Belgium
• Elected member of the Executive Board of the International Biometric Society (IBS)
• Member of the International Editorial Board of African Crop Science Journal
• Member of the working group for developing of curriculum in teaching of M.Sc. Biometry for   University of Nairobi, Kenya
• Member of the South African Statistical Association (SASA)
• Member of the International Biometrics Society (IBS) and IBS-Group South Africa
• Member of sub-Saharan Africa Network (SUSAN) of the IBS
• An Adjunct Staff Member of the African Centre for Crop Improvement (ACCI)
• Member of the KwaZulu-Natal Bioinformatics Network (KBN) involved in statistical aspects
• The National Group Secretary International Biometrics Society (IBS) Group South Africa
• The Coordinator of sub-Saharan African Network (SUSAN) of the IBS
• Member of: the International Editorial Board of African Crop Science Journal, and
• Member of the working group for developing of curriculum in teaching of MSc. Biometry, in the University of Nairobi, Kenya
• Ad-Hoc Committee member of the Task Force Reviewing the IBS International Business Office.
• Ad-Hoc Committee member of the Task Force Reviewing the IBS on different aspects of education (short courses, summer schools, MSc educational models, PhD educational models, efforts in special circumstance countries, distance learning).

Awards

• The Commonwealth Staff Fellowship Award
• The Rockefeller Grants on Enhancing use of Biometrics in Kenyan Universities by Students and Grantees under the FORUM for Agricultural Resource Husbandry
• The University of Natal Research Fund.

 Academic visits

• Visiting Assistant Professor, Department of Statistics, Kansas State University, Manhattan.
• Visiting Professor, Center for Statistics, Limburgs Universitair Centrum Diepenbeek, Belgium. Taught “Topics in Biometry” a Postgraduate Course.
• Attached to Department of Applied Statistics, Reading University, UK. Developed a Teaching Manual for Statistical Approach to On-Farm Trials
• Part- Time Lecturer, Department of Mathematics and Statistics, Egerton University, Njoro, Kenya.
• Price Waterhouse Associates Nairobi in the development of Kenya Agricultural Research Institute (KARI) Information System Setup and Operation Procedures.
• Part-time lecturer in the Department of Crop Science, University of Nairobi, Nairobi, Kenya.

• Participated in the development of Impact Evaluation Design for Digital School Programme in ICT Kenya under the International Institute of Impact Evaluation (3ie). (2015).

INAUGURAL LECTURE

The use of appropriate statistical techniques in addressing food production challenges of smallholder farmers. 14^th July 2022.  https://www.youtube.com/watch?v=fhAJGC7S3AU