ArticleResearch square2026
A Permutation Test for a Modified Spearman's Rank Correlation Using Martingale-Residual Ranks Under Right Censoring.
Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
This note presents a robust permutation testing approach for assessing a modification of the Spearman rank correlation coefficient between right-censored variables. The method is based on univariate martingale residuals (UMRs), which provide a principled rank-generating transformation that incorporates censoring through the Kaplan-Meier estimators while reducing to the identity transformation when no censoring is present. Under the null hypothesis
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Registered trials
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