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Research Article Open Access
Statistical analyses of biomedical research are obligatory to churn out any plausible explanation of the elaborate studies and expensive battery of tests performed. Statistics therefore, is common place in biomedical literature. Despite their wide use, even the simpler terms, analyses and explanations are sometimes misunderstood or misinterpreted by researchers who have either a limited or faulty knowledge of statistics. Surprisingly many are oblivious of the role of statistician in today’s research set up. A sound understanding of the above is needed to foster closer and regular interactions between statisticians and other members of a research team for effective incorporation of the statistical elements into research and discussion of research output. An attempt is made to outline a few basics elements of statistics that are commonly found in biomedical literature with a word of advice on how to go about them.
Non parametric test, Parametric test, P value, Biometrics ,Biostatistics, Behaviometrics, Combinatorics, Deformation, Geometry, Harmonic analysis, Algebra, Homotopical Algebra,Latin square, Lie theory, Lie Triple Systems, Loop Algebra,Representation theory, Symmetric Space, Topology, Quantum Group, Operad theory, Quasigroup