๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Truncation of a Two Sample Sequential Wilcoxon Test

โœ Scribed by Eva Skovlund

Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
401 KB
Volume
33
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

โœฆ Synopsis

To reduce the number of patients needed in a clinical trial, a sequential plan is sometimes used. This paper deals with the truncation of a sequential two sample Wilcoxon test which was originally an open plan (SKOVLUND and ~V A u 0 E , 1988). The truncated boundaries have been developed by stochastic simulation. These boundaries form a triangular continuation region. The simulated constante of the boundaries are presented in a table which may be used directly. Boundaries for truncation at 50, 100, 150 and 200 patients are developed. The chosen significance level may be 0.01, 0.025 or 0.05, and the power 0.95. To extend the applicability t o other treatment differences than those tabulated, smooth curves are fitted t o the simulated points. These make the test applicable t o any treatment difference within the simulated range.

๐Ÿ“œ SIMILAR VOLUMES

A sequential two sample life test
A sequential two sample life test
โœ Benjamin Epstein ๐Ÿ“‚ Article ๐Ÿ“… 1955 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 326 KB
Two-sample Kolmogorov-Smirnov test for t
Two-sample Kolmogorov-Smirnov test for truncated data
โœ N.B. Grover ๐Ÿ“‚ Article ๐Ÿ“… 1977 ๐Ÿ› Elsevier Science โš– 222 KB

A nonparametric statistical test to compare two cumulative frequency distribution functions is presented that can be used even when both samples include censored data, as is often the case when comparing the survival of two groups of laboratory animals under conditions in which the experiment is ter

APL programs for p-values in Wilcoxon's
APL programs for p-values in Wilcoxon's one-sample and two-sample tests
โœ S. Olesen Larsen ๐Ÿ“‚ Article ๐Ÿ“… 1980 ๐Ÿ› Elsevier Science โš– 143 KB

A description and a listing are made of APL programs which compute one-sided P-values, i.e., probabilities of getting a rank sum smaller than or equal to that observed, in Wilcoxon'$ one-sample and two-sample tests.