Statistical Power in Plant Pathology Research
Statistical Power in Plant Pathology Research is a scholarly work, published in 2017 in ''Phytopathology''. The main subjects of the publication include variance, power, mathematics, sample size determination, power of a test, analysis of variance, interpretation, econometrics, statistics, plant pathology, systematic review, NULL, statistical inference, statistical test, null hypothesis, type I and type II errors, missing data, alternative hypothesis, clinical trial, statistical significance, and biology. Power analysis will lead to more efficient use of resources and more precisely structured hypotheses, and may even indicate some studies should not be undertaken.