• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.1016/j.ecosta.2020.10.003
PMID:36726747
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9872473/
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
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99fa/9872473/2861cfabfbc7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99fa/9872473/2861cfabfbc7/gr1.jpg

相似文献

1
Regression Reconstruction from a Retrospective Sample.来自回顾性样本的回归重建。
Econom Stat. 2023 Jan;25:87-92. doi: 10.1016/j.ecosta.2020.10.003.
2
Measurement error in the explanatory variable of a binary regression: regression calibration and integrated conditional likelihood in studies of residential radon and lung cancer.二元回归解释变量中的测量误差:住宅氡与肺癌研究中的回归校准和综合条件似然法
Stat Med. 2008 May 30;27(12):2159-76. doi: 10.1002/sim.3163.
3
Consequences of ignoring clustering in linear regression.忽略线性回归中的聚类的后果。
BMC Med Res Methodol. 2021 Jul 7;21(1):139. doi: 10.1186/s12874-021-01333-7.
4
[The impact of incorrectly-measured variables when mixed with precisely measured variables on the study of validity in epidemiological research].[在流行病学研究中,测量不准确的变量与测量精确的变量混合时对效度研究的影响]
Zhonghua Liu Xing Bing Xue Za Zhi. 2007 Aug;28(8):810-3.
5
Biostatistics Series Module 6: Correlation and Linear Regression.生物统计学系列模块6:相关性与线性回归。
Indian J Dermatol. 2016 Nov-Dec;61(6):593-601. doi: 10.4103/0019-5154.193662.
6
A new method for dealing with measurement error in explanatory variables of regression models.一种处理回归模型解释变量测量误差的新方法。
Biometrics. 2004 Mar;60(1):172-81. doi: 10.1111/j.0006-341X.2004.00164.x.
7
Fitting straight lines to experimental data.将直线拟合到实验数据。
Am J Physiol. 1977 Sep;233(3):R94-9. doi: 10.1152/ajpregu.1977.233.3.R94.
8
Comparison of linear regression methods when both variables contain error: relation to clinical studies.当两个变量都包含误差时线性回归方法的比较:与临床研究的关系
DICP. 1989 Nov;23(11):891-98. doi: 10.1177/106002808902301111.
9
Some aspects of measurement error in explanatory variables for continuous and binary regression models.连续和二元回归模型中解释变量测量误差的一些方面。
Stat Med. 1998 Oct 15;17(19):2157-77. doi: 10.1002/(sici)1097-0258(19981015)17:19<2157::aid-sim916>3.0.co;2-f.
10
Development of a model to predict dietary metabolizable energy from digestible energy in beef cattle.建立一个模型,以预测肉牛饲料可消化能中的代谢能。
J Anim Sci. 2021 Jul 1;99(7). doi: 10.1093/jas/skab182.

本文引用的文献

1
Robust analysis of secondary phenotypes in case-control genetic association studies.病例对照基因关联研究中次要表型的稳健分析。
Stat Med. 2016 Oct 15;35(23):4226-37. doi: 10.1002/sim.6976. Epub 2016 May 30.
2
Mendelian randomization studies for a continuous exposure under case-control sampling.病例对照抽样下连续暴露的孟德尔随机化研究。
Am J Epidemiol. 2015 Mar 15;181(6):440-9. doi: 10.1093/aje/kwu291. Epub 2015 Feb 21.
3
Robust estimation for homoscedastic regression in the secondary analysis of case-control data.病例对照数据二次分析中同方差回归的稳健估计
J R Stat Soc Series B Stat Methodol. 2013 Jan 1;75(1):185-206. doi: 10.1111/j.1467-9868.2012.01052.x.
4
Genome-wide association scans for secondary traits using case-control samples.基于病例对照样本的全基因组关联扫描分析二级特征。
Genet Epidemiol. 2009 Dec;33(8):717-28. doi: 10.1002/gepi.20424.
5
Proper analysis of secondary phenotype data in case-control association studies.病例对照关联研究中次级表型数据的恰当分析。
Genet Epidemiol. 2009 Apr;33(3):256-65. doi: 10.1002/gepi.20377.
6
Secondary analysis of case-control data.病例对照数据的二次分析。
Stat Med. 2006 Apr 30;25(8):1323-39. doi: 10.1002/sim.2283.
7
Re-using data from case-control studies.重复使用病例对照研究中的数据。
Stat Med. 1997 Jun 30;16(12):1377-89. doi: 10.1002/(sici)1097-0258(19970630)16:12<1377::aid-sim557>3.0.co;2-k.
8
Logistic regression in case-control studies: the effect of using independent as dependent variables.
Stat Med. 1995 Apr 30;14(8):769-75. doi: 10.1002/sim.4780140806.
9
Discrimination between alternative binary response models.不同二元响应模型之间的判别
Biometrika. 1967 Dec;54(3):573-8.