Prediction of hereditary cancers using neural networks
Author:
Affiliation:
1. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
2. Department of Data Sciences, Dana-Farber Cancer Institute
3. Department of Biostatistics, Harvard T.H. Chan School of Public Health
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference107 articles.
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4. Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J. and Kattan, M. W. (2010). Assessing the performance of prediction models: A framework for some traditional and novel measures. Epidemiology 21 128.
5. Yu, B. (2013). Stability. Bernoulli 19 1484–1500.
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