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Kaplan-Meier Approach01:24

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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Related Experiment Video

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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Author Correction: Application of statistical machine learning in biomarker selection

Ritwik Vashistha1, Zubdahe Noor2, Shibasish Dasgupta3,4

  • 1Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, USA.

Scientific Reports
|January 25, 2024
PubMed
Summary

No abstract available in PubMed .

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