Clinical prediction models : a practical approach to development, validation, and updating
This book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these i...
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| 主要作者: | |
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| 格式: | 圖書 |
| 語言: | English |
| 出版: |
Springer
2017
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| 主題: | |
| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/28713 |
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| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
| 總結: | This book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently applied in medical research. Old-fashioned, data hungry methods are often used in data sets of limited size, validation of predictions is not done or done simplistically, and updating of previously developed models is not considered. A sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice (...) |
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