首页> 美国卫生研究院文献>Breast Cancer Research : BCR >Risk prediction models with incomplete data with application to prediction of estrogen receptor-positive breast cancer: prospective data from the Nurses Health Study
【2h】

Risk prediction models with incomplete data with application to prediction of estrogen receptor-positive breast cancer: prospective data from the Nurses Health Study

机译:具有不完整数据的风险预测模型可用于预测雌激素受体阳性乳腺癌:护士健康研究的前瞻性数据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

IntroductionA number of breast cancer risk prediction models have been developed to provide insight into a woman's individual breast cancer risk. Although circulating levels of estradiol in postmenopausal women predict subsequent breast cancer risk, whether the addition of estradiol levels adds significantly to a model's predictive power has not previously been evaluated.
机译:简介已经开发了许多乳腺癌风险预测模型,以提供对女性个人乳腺癌风险的洞察力。尽管绝经后妇女体内雌二醇的循环水平可预测随后发生乳腺癌的风险,但先前尚未评估过添加雌二醇水平是否会显着增加模型的预测能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号