The Gini Test for Survival Data in Presence of Small and Unbalanced Groups
| Autor: | Chiara Gigliarano, Marco Bonetti |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Score test
lcsh:R5-920 lcsh:Public aspects of medicine Gini concentration index nonparametric test permutation test right censored survival data Pearson's chi-squared test Nonparametric statistics lcsh:RA1-1270 Gini index Test (assessment) symbols.namesake Exact test Resampling Statistics symbols Chi-square test Test statistic lcsh:Medicine (General) Mathematics |
| Zdroj: | Epidemiology, Biostatistics and Public Health; Vol 10, No 2 (2013) Epidemiology Biostatistics and Public Health, Vol 10, Iss 2 (2013) Epidemiology, Biostatistics, and Public Health; V. 10 N. 2 (2013) Epidemiology, Biostatistics, and Public Health; Vol. 10 No. 2 (2013) |
| ISSN: | 2282-0930 |
| DOI: | 10.2427/8762 |
| Popis: | The aim of this note is to study the performance of the Gini concentration test for survival data in presence of unbalanced and small samples. We compared the performance of the asymptotic test with an alternative permutation distribution test, illustrating by simulation that if groups are very small the latter test should be used. Also, we show how the definition of the length of time considered in the construction of the test statistic can be chosen to improve the performance of the test. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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