在您的归算模型中包含"Y"背后的"为什么"是"为什么".
Lucy D'Agostino McGowan1, Sarah C Lotspeich1, Staci A Hepler1
1Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA.
Statistical methods in medical research
|April 16, 2024
概括
将结果纳入归算模型对于准确的流行病学分析至关重要. 随机归算需要对公正结果的结果,而确定性归算则不需要.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 统计建模 统计建模
背景情况:
- 在流行病学研究中,缺少数据很普遍.
- 计算方法通常用于处理缺失的共变量数据.
- 讨论了将结果纳入归算模型的必要性.
研究的目的:
- 调查包括结果变量在缺失共变量的归算模型中的影响.
- 区分确定性与随机性归算方法的要求.
- 为归算中的统计建议提供数学解释.
主要方法:
- 归算模型的数学导数.
- 确定性 (单次归纳) 和随机性 (单次/多次归纳) 方法的分析.
- 在估计共变量与结果关系时评估偏差.
主要成果:
- 将结果纳入归算模型是随机归算无偏结果的要求.
- 确定性归算模型不需要结果变量.
- 讨论了关于确定性归算的常见误解.
结论:
- 将结果变量纳入归算模型是依赖于方法的.
- 随机归算需要将结果纳入不偏见的共变量-结果关联估计.
- 这项研究阐明了流行病学中实际归算策略的理论依据.
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