Measuring the similarity of two cohorts in the n-dimensional space
Measuring the similarity of the case and control group in clinical studies has always been an important but also difficult task. Several statistics-based methods aimed at this exist but most of them utilize dimension reduction or estimation, therefore, there are certain cases where they are not adeq...
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| Dokumentumtípus: | Könyv része |
| Megjelent: |
2018
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| Sorozat: | Conference of PhD Students in Computer Science
11 |
| Kulcsszavak: | Számítástechnika |
| Online Access: | http://acta.bibl.u-szeged.hu/61790 |
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| 245 | 1 | 0 | |a Measuring the similarity of two cohorts in the n-dimensional space |h [elektronikus dokumentum] / |c Szekér Szabolcs |
| 260 | |c 2018 | ||
| 300 | |a 151-154 | ||
| 490 | 0 | |a Conference of PhD Students in Computer Science |v 11 | |
| 520 | 3 | |a Measuring the similarity of the case and control group in clinical studies has always been an important but also difficult task. Several statistics-based methods aimed at this exist but most of them utilize dimension reduction or estimation, therefore, there are certain cases where they are not adequate. In this paper, we propose 3 dissimilarity-based measures capable of evaluating case-control group pairs without the loss of valuable information. | |
| 695 | |a Számítástechnika | ||
| 700 | 0 | 2 | |a Vathy-Fogarassy Ágnes |e aut |
| 710 | |a Conference of PhD students in computer science (11.) (2018) (Szeged) | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/61790/1/cscs_2018_164-167.pdf |z Dokumentum-elérés |