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

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...

Statistical significance and clinical significance.

A statistics primer. P values: probability and clinical significance.

a study of 12-year-old boys evaluating the effect of heading soccer balls and a suspected decrease in cognitive function on standardized tests. The null hypothesis is that there is no difference in cognitive function and the number of times a ball is headed during a season. The research hypothesis is that there is a decrease in cognitive function among players who head the ball on average more ...

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 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...