title: Errors, Types I and II.
abstract: The practicing physician and the clinical investigator regularly confront therapeutic trials, diagnostic tests, and other hypothesis-testing situations. The clinical literature increasingly displays statistical notations and concepts related to decision making in medicine. For these reasons, the physician is obligated to have some familiarity with the principles behind the null hypothesis, Type I and II errors, statistical power, and related elements of hypothesis testing.
mesh_terms: D019411:Clinical Laboratory Techniques; D003365:Costs and Cost Analysis; D004992:Ethics, Medical; D049673:History, 20th Century; D012107:Research Design; D013223:Statistics as Topic