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The central limit theorem: the remarkable theory that explains all of statistics
Corresponding Author David Sidebotham Department of Anaesthesia and the Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, New Zealand Department of Anaesthesiology, Faculty of Health Sciences, University of Auckland, New Zealand Search for more papers by this author
False-positive and false-negative risks for individual multicentre trials in critical care
Abstract Background In medical research, null hypothesis significance testing (NHST) is the dominant framework for statistical inference. NHST involves calculating P-values and confidence intervals to quantify the evidence against the null hypothesis of no effect. However, P-values and confidence intervals cannot tell us the probability that the hypothesis is true.
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