Testing difference in two proportions using D2prop macro in SPSS

A SAS® Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions

When comparing two proportions, it is often desirable to have more information than simply the p-value from a hypothesis test. The SAS® procedure FREQ provides both an approximate and an exact p-value, as well as an approximate confidence interval for the ratio of the two proportions. Calculation of the difference of two proportions and any confidence interval for this difference, however, must...

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 ...

Hypothesis Testing About Proportions in Two Finite Populations

The problem of hypothesis testing about proportions in two Ž nite populationsis addressed.The usual test based on the normal approximation (Z test) and a test based on estimatedp values (E test) are considered. The exact properties of the tests are evaluated numerically. Numerical studies indicate that the E test is very satisfactory even for small samples and can be recommended for practical u...

Improved Confidence Intervals for the Difference between Two Proportions

Non-Inferiority Tests for the Difference Between Two Proportions

A non-inferiority test example will set the stage for the discussion of the terminology that follows. Suppose that the current treatment for a disease works 70% of the time. Unfortunately, this treatment is expensive and occasionally exhibits serious side-effects. A promising new treatment has been developed to the point where it can be tested. One of the first questions that must be answered i...