Statistical significance is not necessarily equal to clinical significance

Statistical significance and clinical significance.

The clinical significance of statistical significance.

Modern clinical trials provide the evidence for most therapeutic advances, and that evidence, expressed in a statistical format, is used to draw inferences about a population from the study's results. Clinician judgment translates these inferences for best individual patient care, but many clinicians struggle with the statistical interpretation of trial results. This review provides a clinical ...

Clinical significance not statistical significance: a simple Bayesian alternative to p values.

OBJECTIVES To take the common "Bayesian" interpretation of conventional confidence intervals to its logical conclusion, and hence to derive a simple, intuitive way to interpret the results of public health and clinical studies. DESIGN AND SETTING The theoretical basis and practicalities of the approach advocated is at first explained and then its use is illustrated by referring to the interpr...

An illusion of hormesis in the Ames test: statistical significance is not equivalent to biological significance.

A recent report (Calabrese et al., Mutat. Res. 726 (2011) 91-97) concluded that an analysis of Ames test mutagenicity data provides evidence of hormesis in mutagenicity dose-response relationships. An examination of the data used in this study and the conclusions regarding hormesis reveal a number of concerns regarding the analyses and possible misinterpretations of the Salmonella data. The cla...

Clinical Significance 1 Running Head: CLINICAL SIGNIFICANCE "Clinical" Significance: "Clinical" Significance and "Practical" Significance are NOT the Same Things

Clinical significance is an important concept in research, particularly in education and the social sciences. The present article first compares clinical significance to other measures of “significance” in statistics. The major methods used to determine clinical significance are explained and the strengths and weaknesses of clinical significance quantification are examined. Finally, examples de...