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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In addition, an example based on a simulated data set is used to illustrate the test process that covers the group sequential test of non-parametric statistics in the given general form.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study a group sequential test of non-parametric statistics is examined in order to compare two groups of survival data.
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Key Findings & Data:A new general form for a group sequential test of non-parametric statistics is given.
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Conclusion & Impact:In addition, an example based on a simulated data set is used to illustrate the test process that covers the group sequential test of non-parametric statistics in the given general form.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Group sequential test · Survival data · Log-rank test
Abstract
In this study a group sequential test of non-parametric statistics is examined in order to compare two groups of survival data. A new general form for a group sequential test of non-parametric statistics is given. The distribution of test statistics, obtained at the end of each stage, have been derived for this general form. In addition, an example based on a simulated data set is used to illustrate the test process that covers the group sequential test of non-parametric statistics in the given general form.
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Cite This Article
Demirhan, Y. P., Bacanlı, S. (2005). GROUP SEQUENTIAL TEST OF NON-PARAMETRIC STATISTICS FOR SURVIVAL DATA. Hacettepe Journal of Mathematics and Statistics, Volume: 34 Issue: 1. https://ajindex.com/articles/1403827