Effectively Comparing Differences in Proportions

Testing differences in proportions.

This paper is the sixth in a series of statistics articles recently published by Australian Critical Care. In this paper we explore the most commonly used statistical tests to compare groups of data at the nominal level of measurement. The chosen statistical tests are the chi-square test, chi-square test for goodness of fit, chi-square test for independence, Fisher's exact test, McNemar's test ...

Sample Size Calculation for Comparing Proportions

In clinical research, in addition to continuous responses, primary clinical endpoints for assessment of efficacy and safety of a drug product under investigation could be binary responses. For example, in cancer trials, patients’ clinical reaction to the treatment is often classified as response (e.g., complete response or partial response) or nonresponse. Based on these binary responses, the p...

Intra-Positional and Inter-Positional Differences in Somatotype Components and Proportions of Particular Somatotype Categories in Youth Volleyball Players

Objective(s). Main aim of this cross-sectional study was to analyse intra-positional, inter-positional differences in proportions of particular somatotype categories in youth volleyball players. Methods. Heath-Carter method was used to determine somatotype characteristics of 181 young female volleyball players (age 14.05±0.93, height 170.03±7.61 cm, mass 57.80±8.59 kg, bod...

Simple improved con dence intervals for comparing matched proportions 3

For binary matched-pairs data, this article discusses interval estimation of the di erence of probabilities 7 and an odds ratio for comparing ‘success’ probabilities. We present simple improvements of the commonly used Wald con dence intervals for these parameters. The improvement of the interval for the 9 di erence of probabilities is to add two observations to each sample before applying it. ...

Approximations to Power When Comparing Two Small Independent Proportions