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Updated: Jun 30, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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对回归校准方法的概括和与贝叶斯和频率模型平均方法的比较

Mark P Little1,2, Nobuyuki Hamada3, Lydia B Zablotska4

  • 1Radiation Epidemiology Branch, National Cancer Institute, Room 7E546, 9609 Medical Center Drive, MSC 9778, Rockville, MD, 20892-9778, USA. mark.little@nih.gov.

Scientific reports
|March 20, 2024
PubMed
概括

准确的癌症风险推断需要考虑测量误差. 扩展回归校准 (ERC) 方法在估计低剂量风险方面表现优异,特别是在共享错误和剂量反应曲线的情况下.

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