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Inaccuracy of the log‐rank approximation in cancer data analysis
by
Rappoport, Nimrod
, Shamir, Ron
in
Algorithms
/ Animal models
/ Animals
/ Antineoplastic Agents - pharmacology
/ Approximation
/ Biomedical research
/ Breast cancer
/ Breast Neoplasms - drug therapy
/ Breast Neoplasms - mortality
/ Breast Neoplasms - pathology
/ Cluster Analysis
/ Clustering
/ Confidence intervals
/ Correspondence
/ Data analysis
/ Datasets
/ Datasets as Topic
/ Disease Models, Animal
/ Endotoxemia
/ Female
/ Genomes
/ Humans
/ Hypotheses
/ Medical research
/ Patients
/ Permutations
/ Rank tests
/ Software
/ Statistics as Topic
/ Survival
/ Survival Analysis
/ Topotecan
2019
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Inaccuracy of the log‐rank approximation in cancer data analysis
by
Rappoport, Nimrod
, Shamir, Ron
in
Algorithms
/ Animal models
/ Animals
/ Antineoplastic Agents - pharmacology
/ Approximation
/ Biomedical research
/ Breast cancer
/ Breast Neoplasms - drug therapy
/ Breast Neoplasms - mortality
/ Breast Neoplasms - pathology
/ Cluster Analysis
/ Clustering
/ Confidence intervals
/ Correspondence
/ Data analysis
/ Datasets
/ Datasets as Topic
/ Disease Models, Animal
/ Endotoxemia
/ Female
/ Genomes
/ Humans
/ Hypotheses
/ Medical research
/ Patients
/ Permutations
/ Rank tests
/ Software
/ Statistics as Topic
/ Survival
/ Survival Analysis
/ Topotecan
2019
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Do you wish to request the book?
Inaccuracy of the log‐rank approximation in cancer data analysis
by
Rappoport, Nimrod
, Shamir, Ron
in
Algorithms
/ Animal models
/ Animals
/ Antineoplastic Agents - pharmacology
/ Approximation
/ Biomedical research
/ Breast cancer
/ Breast Neoplasms - drug therapy
/ Breast Neoplasms - mortality
/ Breast Neoplasms - pathology
/ Cluster Analysis
/ Clustering
/ Confidence intervals
/ Correspondence
/ Data analysis
/ Datasets
/ Datasets as Topic
/ Disease Models, Animal
/ Endotoxemia
/ Female
/ Genomes
/ Humans
/ Hypotheses
/ Medical research
/ Patients
/ Permutations
/ Rank tests
/ Software
/ Statistics as Topic
/ Survival
/ Survival Analysis
/ Topotecan
2019
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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.
Publisher
Nature Publishing Group UK,EMBO Press,John Wiley and Sons Inc,Springer Nature
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