International Livestock Research Institute (ILRI).ILRI works in partnerships and alliances with other organisations, national and international, in livestock research, training and information. ILRI's mission is to work at the crossroads of livestock and poverty, bringing high-quality science and capacity-building to bear on poverty reduction and sustainable development for poor livestock keepers and their communities. ILRI works in all tropical developing regions of Africa and Asia and envisages a world made better for poor people in developing countries by improving agricultural systems in which livestock are important ILRI. ILRI is a member of the CGIAR that conducts food and environmental research to help alleviate poverty and increase food security while protecting the natural resource base. More information about ILRI can be obtained at http://www.ilri.org.
World Agroforestry Centre (ICRAF)
The World Agroforestry Centre is part of the alliance of the CGIAR centres dedicated to generating and applying the best available knowledge to stimulate agricultural growth, raise farmers' incomes, and p rotect the environment. The World Agroforestry Centre is guided by the broad development challenges pursued by the CGIAR. These include poverty alleviation that entails enhanced food security and health, improved productivity with lower environmental and social costs, and resilience in the face of climate change and other external shocks. Headquartered in Nairobi, Kenya, they also operate in five regional offices located in India, Indonesia, Kenya, Malawi and Mali, and conduct research in eighteen other countries around the developing world. Information about ICRAF can be obtained at http://www.worldagroforestrycentre.org/.
ILRI / ICRAF Research Methods Group
The World Agroforestry Centre (ICRAF) and the International Livestock Research Institute (ILRI) have aligned their biometrics and applied statistics support with a joint Research Methods Group which provides support to projects in research design, data management, analysis and reporting, and Geographical Information Systems (GIS). The Research Methods Group assists staff and students at both organisations, and their research partners globally. It supports research teams to meet objectives through research of the highest quality, allowing teams to contribute to innovative, effective, sustainable solutions to global development problems. More information can be found at: http://www.ilri.org/rmg.
University of Reading, UK - Statistical Services Centre (SSC)
The Statistical Services Centre (SSC) of the University of Reading provides consultancy and training in statistics and data management to a broad client base in the UK, Europe and in developing countries. Their aim is to make statistics accessible and effective as a tool to solve practical problems. The SSC works towards: providing professional consultancy and training services to a wide community of users statistics, keeping abreast of modern developments in statistics and turning them into practical tools and enabling their clients to take advantage of best practice in the use of statistical methods.
The Statistical Services Centre (SSC) was established in 1983 as a not-for-profit self-financing body, and is currently part of the School of Mathematical and Physical Sciences at the University of Reading. Their website, containing several statistics training resources, is found at: http://www.ssc.rdg.ac.uk. The University's Department of Mathematics and Statistics offers opportunities for study at postgraduate level, including an MSc in Biometry. More information can be found at: http://www.reading.ac.uk/maths-and-stats/
University of Hasselt, Belgium - Centre for Statistics (CENSTAT)
The Centre for Statistics has an international reputation in statistical research (both theoretical and applied). In the domain of mathematical statistics, research is carried out in the following fields: bootstrap methods, smoothing techniques, censored data, asymptotic theory. Research in applied statistics focuses on biostatistics (longitudinal data analysis, clustered data, missing data, multivariate methods, clinical trials, epidemiological studies) as well as bioinformatics and statistical genetics. The Centre offers MSC courses and students from those developing countries eligible for VLIR scholarships can apply for one of 16 full scholarships available for the 2 year course ICP Master of Statistics - Biostatistics. More information about the university and its biometrics activities can be obtained at http://www.uhasselt.be/en. University of Cape Town, South Africa - Statistical Sciences The Department of Statistical Sciences at the University of Cape Town was established in 1965 as the Department of Mathematical Statistics, and assumed its current name at the beginning of 1991. In terms of its own mission and that of the University of Cape Town, the department is committed to the development of the statistical sciences within and beyond the university and was funded by Ford Foundation, Southern Africa to work with ILRI in the development of this second version of the Biometrics and Research Methods Teaching Resource. In its teaching, the department recognises that there are needs both to train professionals in the statistical sciences, and to provide quantitative and decision-making skills to students in other disciplines. In its research, the department seeks to maintain a balance between the development of theory and applications of that theory, and a balance between research of a general nature (for example, outliers in regression analysis), and research with a specifically African context (such as national water resources planning and the study of migratory patterns of the African penguin). More information about the department can be found at: http://web.uct.ac.za/depts/stats/.
The International Biometric Society (IBS)
The International Biometric Society is an international society promoting the development and application of statistical and mathematical theory and methods in the biosciences, including agriculture, biomedical science and public health, ecology, environmental sciences, forestry, and allied disciplines. The Society welcomes as members statisticians, mathematicians, biological scientists, and others devoted to interdisciplinary efforts in advancing the collection and interpretation of information in the biosciences. The Society is organised into geographically-defined Regions, each with at least 50 members, and smaller National Groups, each with at least 10 members.
SUSAN (sub-Saharan African Network) is the IBS network in sub-Saharan Africa and several countries have their own Group. IBS also produces a quarterly electronic Biometric Bulletin containing reports on Society and member activities, letters to the editor, editorial commentaries, and advertisements. The Bulletin provides a venue for members and others to express ideas on statistical and biometrical matters. Further information about the Society may be obtained at http://www.tibs.org
The International Statistical Institute (ISI)
The ISI is unmatched in its global reach among statisticians and those interested in the field of statistics. It links national statistical societies, with special focus on the societies in developing regions of the world. A majority of the world's central bureaus of statistics are represented within the ISI network. The ISI is a non-profit, non-governmental organisation and has consultative status by the Economic and Social Council of the United Nations since 1949. For further information consult: http://isi.cbs.nl/.
International Association for Statistical Computing (IASC)
The International Association for Statistical Computing (IASC) was founded during the 41st Session of the ISI in 1977, as a Section of the ISI. The objectives of the Association are to foster world-wide interest in effective statistical computing and to exchange technical knowledge through international contacts and meetings between statisticians, computing professionals, organizations, institutions, governments and the general public. The Association is affiliated with the International Federation of Information Processing Societies (IFIP). The Association pursues its objectives with special attention to developing countries. It promotes collaborative efforts within international, national, regional and other organisations and institutions having similar aims; it fosters evaluations of statistical computing techniques and programs and facilitates the exchange of computer programmes and meetings, particularly in conjunction with sessions of the ISI. More information can be found at: http://www.iasc-isi.org/.
International Association for Statistical Education (IASE)
The International Association for Statistical Education seeks to promote, support and improve statistical education at all levels everywhere around the world. It is the international umbrella organisation for statistics education. It fosters international cooperation, and stimulates discussion and research. It disseminates ideas, strategies, research findings, materials and information using publications, international conferences, and increasingly, this website. IASE is the education section of the International Statistical Institute (ISI) but may also be joined independently by those who wish participate in IASE's activities, or simply to support the work on improving statistics education and extending its outreach. For further information consult: http://www.stat.auckland.ac.nz/~iase/.
International Association of Survey Statisticians (IASS)
The International Association of Survey Statisticians (IASS - AISE) was founded in 1973 as a section of the International Statistical Institute (ISI). It aims to promote the study and development of the theory and practice of sample surveys and censuses. It also aims to increase the interest in surveys and censuses among statisticians, among governments and the public in the different countries of the world. The IASS carries out its aims by means of: international meetings held every two years in conjunction with the International Statistical Institute, regional meetings or seminars devoted to specific aspects of surveys and publications distributed to members on a regular basis or on request, and the opportunity for members to subscribe to certain journals at reduced rates. More information can be found at: http://isi.cbs.nl/iass/allUK.htm.
A journal of the International Biometric Society (IBS): http://www.biometrics.tibs.org/. The journal is published quarterly in electronic form with print subscription available. Its general objective is to promote the use of statistical and mathematical theory and methods in the biosciences through articles describing the development of novel biometrical techniques and their application to new and ongoing subject-matter challenges. A centrepiece of most Biometrics articles is a scientific application that sets scientific or policy objectives, motivates methods development and demonstrates their operation.
Journal of Agricultural, Biological, and Environmental Statistics (JABES)
The Journal of Agricultural, Biological, and Environmental Statistics (JABES) is published jointly by the International Biometric Society (IBS) and the American Statistical Association (ASA). The mission of JABES is to contribute to the development and use of statistical methods in the agricultural sciences, the biological sciences including biotechnology, and the environmental sciences including sciences dealing with natural resources. Details on how to subscribe can be found at: http://www.amstat.org/publications/jabes.cfm.
Journal of Applied Statistics (JAS)
Journal of Applied Statistics (JAS) provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees. Each issue aims for a balance of methodological innovation, thorough evaluation of existing techniques, case studies, speculative articles, book reviews and letters. More information available at: http://www.tandf.co.uk/journals/titles/02664763.asp.
Journal of the Royal Statistical Society: Series C (Applied Statistics)The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies). A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice. The journal is published by Wiley on behalf of the Royal Statistical Society: http://www.wiley.com/bw/journal.asp?ref=0035-9254&site=1.
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of three refereed sections, and a fourth section dedicated to news on statistical computing. It is published by Elsevier: http://www.elsevier.com