Developing a prognostic model in the presence of missing data: an ovarian cancer case study.
When developing prognostic models in medicine, covariate data are often missing and the standard response is to exclude those individuals whose data are incomplete from the analyses. This practice leads to a reduction in the statistical power, and may lead to biased results. We wished to develop a p...
| Main Authors: | , |
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| 格式: | Journal article |
| 语言: | English |
| 出版: |
2003
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