نتایج جستجو برای: wilcoxon rank sum test
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The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests are robust with respect to Type I error for departures from population normality, and both are powerful alternatives to the independent samples Student's t-test for detecting shift in location. The question remains regarding their comparative statistical power for small samples, particularly for n...
This article extends the Wilcoxon signed rank test for testing whether the median of a population is a specified constant by treating the observations as imprecise values. The test procedure is developed by using the concepts of “Credibility Theory” for studying the behavior of fuzzy phenomena. Numerical illustration of the proposed test is provided by representing the observations as trapezoid...
Rank sum scoring is a popular manner by which to obtain group rankings from events that are individual in nature. For example, rank sum scoring is employed in cross country team competition, the Putnam Mathematics Team Competition, snowboard cross team competition, snowboard half-pipe team competition, and snowboard slopestyle team competition. It also forms the basis for a non-parametric stati...
BACKGROUND Tumor-related leukocytosis (TRL) is occasionally found in patients with nonhematopoietic malignancies. We investigated the clinical implication of TRL and individualized treatment for TRL-positive cervical cancer, as well as the underlying biological mechanism. METHODS Clinical data from 258 cervical cancer patients treated with definitive radiotherapy were analyzed to investigate ...
Gene set analysis is widely used to facilitate biological interpretations in the analyses of differential expression from high throughput profiling data. Wilcoxon Rank-Sum (WRS) test is one of the commonly used methods in gene set enrichment analysis. It compares the ranks of genes in a gene set against those of genes outside the gene set. This method is easy to implement and it eliminates the ...
We consider the decision problem of making causal conclusions from observational data. Typically, using standard matched pairs techniques, there is a source of uncertainty that is not usually quantified, namely the uncertainty due to the choice of the experimenter: two different reasonable experimenters can easily have opposite results. In this work we present an alternative to the standard non...
Baseline differences between patients without heart disease (HD) and with HD were assessed by the chi-squared test for categorical data. Quantitative data were tested for normality using the Kolmogorov–Smirnov test. The t-test was used to test differences for normally distributed data; otherwise the Wilcoxon rank-sum test was used. Clinical baseline data comparing these groups are visualized in...
CONTEXT Hospice care may improve the quality of end-of-life care for nursing home residents, but hospice is underutilized by this population, at least in part because physicians are not aware of their patients' preferences. OBJECTIVE To determine whether it is possible to increase hospice utilization and improve the quality of end-of-life care by identifying residents whose goals and preferen...
Affine invariant analogues of the two-sample Mann-Whitney-Wilcoxon rank sum test and the c-sample Kruskal-Wallis test for the multivariate location model are introduced. The definition of a multivariate (centered) rank function in the development is based on the Oja criterion function. This work extends bivariate rank methods discussed by Brown and Hettmansperger (1987a,b) and multivariate sign...
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