Interestingly enough, my introduction to biostatistics course this summer is a refreshing reminder that learning is fun. My instructors Drs. Shukla and Dwivedi are doing a superb job of instructing the class at a philosophical level. They are engaging questions of statistical certainty within the constraints of probabilistic mathematics (a world they refer to as fuzzy or gray) counterbalancing the clinical drive for a definite answer for ailing patients. The most unique concept I have learned to date is this: hypothesis testing (i.e.: level of significance and p-value) does not result in a mathematical acceptance or rejection of the hypothesis. Rather, hypothesis testing adds or removes weight to an a priori belief that the hypothesis is true. In this manner, statistics are legal procedures. The test statistic is the prosecuting trial attorney arguing the state's case in front of the judge and jury. The data is considered insignificant unless otherwise proven beyond reasonable doubt by the test statistic.
Next post will be a technical one exploring some aspect of statistics and how they relate to contemporary medical knowledge.
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