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Inaccuracy of the log‐rank approximation in cancer data analysis
Inaccuracy of the log‐rank approximation in cancer data analysis
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Inaccuracy of the log‐rank approximation in cancer data analysis
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Inaccuracy of the log‐rank approximation in cancer data analysis
Inaccuracy of the log‐rank approximation in cancer data analysis

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Inaccuracy of the log‐rank approximation in cancer data analysis
Inaccuracy of the log‐rank approximation in cancer data analysis
Journal Article

Inaccuracy of the log‐rank approximation in cancer data analysis

2019
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Overview
Since survival information was available for the patients, we used the log‐rank test chi‐square approximation to evaluate each solution. [...]the APs for 48 out of the 90 clustering solutions were not within their 95% confidence intervals constructed using the permutation test. Joachim et al ( ) reported that use of the chemotherapeutic agent Topotecan resulted in a significant survival benefit in a murine model of endotoxemia. [...]erroneous significance conclusions due to the use of AP occur both in biomedical research and in algorithm development.