Reference curve sampling variability in one-sample log-rank tests. [PDF]
PLoS ONE, 2022 The one-sample log-rank test is the method of choice for single-arm Phase II trials with time-to-event endpoint. It allows to compare the survival of patients to a reference survival curve that typically represents the expected survival under standard of
Moritz Fabian Danzer +3 more
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Estimation of treatment effects in weighted log-rank tests [PDF]
Contemporary Clinical Trials Communications, 2017 Non-proportional hazards have been observed in clinical trials. The log-rank test loses power and the standard Cox model generally produces biased estimates under such conditions.
Ray S. Lin, Larry F. León
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Accurate and efficient P-values for rank-based independence tests with clustered data using a saddlepoint approximation [PDF]
Scientific ReportsAccurate statistical inference for clustered data—common in multi-center clinical trials and longitudinal studies—poses significant challenges due to within-cluster correlation. Rank-based tests like the logrank, Wilcoxon, and Datta-Satten are valued for
Haidy A. Newer
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Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman'sρ [PDF]
Journal of Applied Statistics, 2020 33 pages, 12 ...
J. van Doorn +3 more
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La somme des rangs de Wilcoxon, ses moments, sa distribution nulle,avec illustration et compléments [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 This paper delves into Wilcoxon's sum-of-ranks $R$ statistic (and Mann-Whitney's translated equivalent $U$) for testing the difference between two groups.
Laurencelle, Louis
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Log-rank and stratified log-rank tests
Statistical Theory and Related Fields, 2023 In randomized clinical trials with right-censored time-to-event outcomes, the popular log-rank test without adjusting for baseline covariates is asymptotically valid for treatment effect under simple randomization of treatments but is too conservative ...
Ting Ye, Jun Shao, Yanyao Yi
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Circulation, 2006 Nonparametric statistical methods are useful tools for data analysis when there is reason to believe that the outcome variables of interest may fail certain distributional assumptions required for parametric methods. Variables may be ordered categories in nature and thereby not suitable for analysis methods that assume normally distributed variables ...
Lisa M, LaVange, Gary G, Koch
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Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests
IEEE Access, 2022 Monitoring of streamed data to detect abnormal behaviour (variously known as event detection, anomaly detection, change detection, or outlier detection) underlies many applications, especially within the Internet of Things. There, one often collects data
Jakub Marecek +3 more
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Pacing Strategies Differ by Sex and Rank in 2020 CrossFit® Open Tests
Sports, 2023 This retrospective study collected video recordings of a random selection of eighty men and women (n = 160) completing all five tests of the 2020 CrossFit® Open.
Gerald T. Mangine +5 more
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Investigating the impact of GDP and distance variables in the gravity model using sign and rank tests [PDF]
Eastern Journal of European Studies, 2021 The gravity model of trade has been a workhorse of international economics over the last fifty years. The main variables incorporated in the standard gravity model of trade are gross domestic product of trading countries and distance between them.
Berislav ŽMUK, Hrvoje JOŠIĆ
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