Introduction |
| The homogeneity test of prevalence among multiple groups is of general interest under paired Bernoulli settings. Dallal (1988) proposed a model by parameterizing the probability of an occurrence at one site given an occurrence at the other site and derived the maximum likelihood-ratio test. In this paper, we propose two alternative test statistics and evaluate their performance regarding the type I error control and powers. Our simulation result show that the score test is the most robust. An algorithm for sample size calculation is developed for the score test. Data from ophthalmologic studies are used to illustrate our proposed test procedures. This calculator provides a user-friendly interface to use this methodology. | |
Power Analysis |
| Type I error (α): | Typical values 0.05, 0.01 | ||
| Sample allocation ratio: | Example: 2 groups 1:1,1:2 etc.; 3 groups: 1:1:1, 1:1:2 etc. | ||
| Hyposthesis prevalences: | Values from 0 to 1, separated by comma, related to effect size (larger diferences among groups requre small sample size | ||
| γ: |
| Max sample size to search: | ||
| Number of Monte Carlo simulation replicates: |
Homogeneity Test Calculator |
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Please put your data in the box below, or try the example 1, or the example 2 in the paper, or simulate data - turn simulation panel On Off
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