Estimation of a Predictor’s Importance by Random Forests When There Is Missing Data : RISK Prediction in Liver Surgery using Laboratory Data
Hapfelmeier, Alexander; Hothorn, Torsten; Riediger, Carina; Ulm, Kurt (2014). Estimation of a Predictor’s Importance by Random Forests When There Is Missing Data : RISK Prediction in Liver Surgery using Laboratory Data. International Journal of Biostatistics, 10(2):165-183.
Additional indexing
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 04 Faculty of Medicine > Epidemiology, Biostatistics and Prevention Institute (EBPI) |
| Dewey Decimal Classification: | 610 Medicine & health |
| Scopus Subject Areas: | Physical Sciences > Statistics and Probability
Social Sciences & Humanities > Statistics, Probability and Uncertainty |
| Language: | English |
| Date: | 2014 |
| Deposited On: | 26 Aug 2014 14:51 |
| Last Modified: | 11 Mar 2025 02:39 |
| Publisher: | De Gruyter |
| ISSN: | 1557-4679 |
| OA Status: | Green |
| Publisher DOI: | https://doi.org/10.1515/ijb-2013-0038 |
| PubMed ID: | 24914728 |
Permanent URL
https://doi.org/10.5167/uzh-98319
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Hapfelmeier, Alexander