1997 · 58 citations · 20 references
Public HealthBiostatisticsA/b TestingEpidemiologic MethodsExperimental DesignClassical Test TheoryHypothesis TestingHeteroscedastic Error ModelsHeteroscedasticity ModelingInteraction EffectsMain EffectsNeyman - Pearson LemmaStatistical Significance Testing
In this article we consider the Two-Way ANOVA model with unequal cell frequencies without the assumption of equal error variances. By taking the generalized approach to finding p-values, classical F-tests for no interaction effects and equal main effects are extended under heteroscedasticity. The generalized F- tests developed in this article can be utilized in significance testing or in fixed level testing under the Neyman-Pearson theory. An example is given to illustrate the proposed test and to demonstrate its advantage over the classical F-test. A simulation study is carried out to demonstrate that, despite its increased power under heteroscedasticity, the size of the test does not exceed the intended level.
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Henry Scheffé · Soil Science · 1960 · 5.6K citations
ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH
B. L. Welch · Biometrika · 1951 · 1.5K citations
Posterior Predictive $p$-Values
Xiao‐Li Meng · The Annals of Statistics · 1994 · 807 citations · Full text