Acknowledgement is due to all who contributed to the production of the Biometrics and Research Methods Teaching Resource. As seen below the Resource was produced through team effort and credit goes to all contributors and collaborating institutions.
Dr John Rowlands (former Head of Biometrics, ILRI, Nairobi) has co-ordinated the development of this Teaching Resource. He has received especially excellent support from Dr Habib Ibrahim (former Training Materials Specialist, ILRI, Addis Ababa and Daniel Haile-Michael (Web Development Officer, ILRI, Addis Ababa) responsible for the entire HTML development. Credit is due to all those from the University of Nairobi, the University of Kwazulu-Natal, the Islamic University of Uganda, the University of Swaziland and ILRI, who worked so hard in the development of their case studies. Their names appear as senior authors of the case studies and all will have benefited from this opportunity to develop their individual capacities in research methods and applied biometrics.
Other valuable contributions were made by national ILRI staff, namely Senai Assefa, Apolo Habtamu, Emaelaf Kebede, Nicholas Ndiwa and Zerihun Taddese.
The programme could not have been completed without the support of the late Harvey Dicks, eminent applied biometrician for many years at the University of Kwazulu-Natal, Professor Timothy Dunne, Department of Statistical Sciences, University of Cape Town, who managed the grants from Ford Foundation, Southern Africa, Richard Fulss, former Information Manager at ILRI, and Jane Poole, Statistician.
The six teaching guides were critically reviewed by Dr Roger Stern, Eleanor Allen and Carlos Barahona, Statistics Service Centre, University of Reading.
The Good Practice Guides provided by Statistical Service Centre, University of Reading, and the experimental data sets and course notes donated by the late Harvey Dicks, University of KwaZulu Natal are gratefully acknowledged. Permission for the use of these materials undoubtedly broadens the overall value of the Teaching Resource. We also thank VSN International, Hemel Hempstead, UK for their interest in the development of this Teaching Resource which will enable better use of the GenStat statistical software to be made in future by teachers, researchers and biometricians/applied statisticians and research methods specialists in sub-Saharan Africa.