Saddlepoint inference for rank-based k-sample tests in clustered survival trials.

Each case represents a specific challenge-ranging from high censoring and borderline significance to extreme intra-cluster dependence-where the choice of inferential methodology fundamentally dictates the study’s conclusions.

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In this high-power scenario, all three methodologies correctly identify a highly significant treatment effect ( ), as shown in Table 6 .

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