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来自回顾性样本的回归重建。

Regression Reconstruction from a Retrospective Sample.

作者信息

Kartsonaki Christiana, Cox D R

机构信息

MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.

Nuffield College, Oxford OX1 1NF, UK.

出版信息

Econom Stat. 2023 Jan;25:87-92. doi: 10.1016/j.ecosta.2020.10.003.

Abstract

The simplest form of retrospective study allows the reconstruction of the dependence between a binary outcome, representing the contrast between cases and controls, and one or more explanatory variables. A different objective for such situations is considered, in which there are distinct explanatory variables, say determining . Reconstruction of the originating distribution of from the case-control data is considered for both continuous and binary variables. Emphasis is on the linear regression coefficient of on . That coefficient, but not the relevant intercept, shows considerable stability, as shown by theory and simulations. An approximation to the value of the coefficient not conditioning on is given.

摘要

回顾性研究的最简单形式允许重建二元结局(代表病例与对照之间的对比)与一个或多个解释变量之间的依存关系。对于此类情况,考虑了一个不同的目标,即存在不同的解释变量,比如确定……。对于连续变量和二元变量,均考虑从病例对照数据重建……的原始分布。重点在于……对……的线性回归系数。如理论和模拟所示,该系数而非相关截距显示出相当的稳定性。给出了不依赖于……的系数值的一个近似值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99fa/9872473/2861cfabfbc7/gr1.jpg

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