 Theorem 2 (Good &amp; Mittal 1987): If a dataset \(D = \sum D_{i}\) satisfies row uniformity, then the Amalgamation Paradox is avoided for the measures \(\pi_{D}\), \(\pi_{R}\), \(\pi_{Y}\) and \(\pi_{W}\) and \(\pi_{C}\). It is not avoided for the log-odds ratio \(\pi_{O}\).