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Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types
There is an emerging need in clinical research to accurately predict patients’ disease status and disease progression by optimally integrating multivariate clinical information. Clinical data are often collected over time for multiple biomarkers of different types (e.g. continuous, binary and counts...
Uloženo v:
| Vydáno v: | Stat Methods Med Res |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SAGE Publications
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5985589/ https://ncbi.nlm.nih.gov/pubmed/27789653 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280216674496 |
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