Web Links [Tag : Biology]
A program for teaching statistics through problem so students will recognize its applications. Free CBL software with modules in psychology, biology, geography and business. Glossary of statistical terms.
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STEPS: Free CBL software for teaching Statistics in pyschology, biology, geography and business.
through P roblem S olving
The STEPS consortium has developed problem-based modules to support the teaching of Statistics in Biology, Business, Geography and Psychology. The software is freely available to educational institutions, and can be downloaded from this Web site.
Details of the software
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Department of Biological Statistics and Computational Biology, College of Agriculture and Life Sciences.
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The Department of Biological Statistics and Computational Biology is a department that consists of nine full-time faculty members with expertise in the mathematical sciences applied to biology, including statistics, probability, biomathematics, and computing.
Charles Danko, a postdoctoral associate
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International Biometric Society, Eastern North America Region. Meetings, membership directory, publications, resources.
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Eastern North American Region/International Biometric Society supports the advancement of biological science through the development of quantitative theories and the application, development and dissemination of effective mathematical and statistical techniques. ENAR includes portions of the United States and Canada east of aproximately 104 degrees West Longitude.
Announcements and Current News
Montserrat Fuentes Appointed Editor of the Journal of Agricultural, Biological, and Environmental Statistics
Kaye Basford, President of the International Biometric Society, announced that Montserrat Fuentes was appointed to the position of Editor, Journal of
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Statistical analysis of genomic and physiological data. Copies of papers on statistical methods of data analysis.
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Ottawa Institute of Systems Biology
Department of Biochemistry, Microbiology, and Immunology
Statistical Research and Software
Foundations of statistics
Posterior distributions without non-frequency prior distributions.
Objective quantification of the strength of evidence in data.
Analysis of
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