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Outlier Detection in Survival Analysis by nuriyesan is a document available to read on EtoBox.
What is Outlier Detection in Survival Analysis about?
The document discusses outlier detection methods for survival analysis data. It proposes two parametric outlier detection methods using Cox regression as the model and concordance c-index as a measure of fit. The first method performs outlier detection in a single step using a bootstrap hypothesis test on the c-index. The second method uses a sequential procedure to greedily maximize the c-index. Both methods are used for robust Cox regression by removing outliers to improve coefficient estimation and predi
- Author
- nuriyesan
- Language
- EN