Results 1 to 10 of about 3,905,246 (313)

Reference curve sampling variability in one-sample log-rank tests. [PDF]

open access: yesPLoS 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
doaj   +2 more sources

Estimation of treatment effects in weighted log-rank tests [PDF]

open access: yesContemporary 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
doaj   +2 more sources

Saddlepoint approximations for linear rank tests with left-truncated, right-censored, and cross-sectional data under randomized block design [PDF]

open access: yesScientific Reports
Left-truncated data arise when events are only recorded if they occur after a pre-specified time point, while right censoring occurs when the exact event time is not fully observed.
Kholoud S. Kamal   +2 more
doaj   +2 more sources

Log-rank and stratified log-rank tests

open access: yesStatistical 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
doaj   +1 more source

Change-Point Rank Tests with Epidemic Alternative [PDF]

open access: yesThe Egyptian Statistical Journal, 2006
A simple linear rank test statistics for a possible epidemic-type distributional change are introduced and studied. The proposed rank statistics are extensions of the Damico's two-sample test statistic [ Damico, J.
Abd-Elnasser Rabou, Ahmed Gad
doaj   +1 more source

Rank Score Tests [PDF]

open access: yesCirculation, 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
openaire   +2 more sources

La somme des rangs de Wilcoxon, ses moments, sa distribution nulle,avec illustration et compléments [PDF]

open access: yesTutorials 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
doaj   +1 more source

Testing for the rank of a covariance operator

open access: yesThe Annals of Statistics, 2022
How can we discern whether the covariance operator of a stochastic process is of reduced rank, and if so, what its precise rank is? And how can we do so at a given level of confidence? This question is central to a great deal of methods for functional data, which require low-dimensional representations whether by functional PCA or other methods.
Charkaborty, Anirvan   +1 more
openaire   +4 more sources

On the Ranking of Test Match Batsmen [PDF]

open access: yesJournal of the Royal Statistical Society Series C: Applied Statistics, 2018
SummaryRanking sportsmen whose careers took place in different eras is often a contentious issue and the topic of much debate. We focus on cricket and examine what conclusions may be drawn about the ranking of test batsmen by using data on batting scores from the first test in 1877 onwards. The overlapping nature of playing careers is exploited to form
Boys RJ, Phillipson PM
openaire   +5 more sources

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