• 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

生态偏倚、混杂因素及效应修饰。

Ecological bias, confounding, and effect modification.

作者信息

Greenland S, Morgenstern H

机构信息

Division of Epidemiology, UCLA School of Public Health 90024.

出版信息

Int J Epidemiol. 1989 Mar;18(1):269-74. doi: 10.1093/ije/18.1.269.

DOI:10.1093/ije/18.1.269
PMID:2656561
Abstract

Ecological bias is sometimes attributed to confounding by the group variable (ie the variable used to define the ecological groups), or to risk factors associated with the group variable. We show that the group variable need not be a confounder (in the strict epidemiological sense) for ecological bias to occur: effect modification can lead to profound ecological bias, whether or not the group variable or the effect modifier are independent risk factors. Furthermore, an extraneous risk factor need not be associated with the study variable at the individual level in order to produce ecological bias. Thus the conditions for the production of ecological bias by a covariate are much broader than the conditions for the production of individual-level confounding by a covariate. We also show that standardization or ecological control of variables responsible for ecological bias are generally insufficient to remove such bias.

摘要

生态偏倚有时被归因于群组变量(即用于定义生态群组的变量)造成的混杂,或者归因于与群组变量相关的风险因素。我们表明,生态偏倚的发生并不一定要求群组变量是一个混杂因素(严格的流行病学意义上):效应修饰可导致严重的生态偏倚,无论群组变量或效应修饰因素是否为独立风险因素。此外,一个外部风险因素并不一定需要在个体层面与研究变量相关联才能产生生态偏倚。因此,协变量产生生态偏倚的条件比协变量产生个体层面混杂的条件要宽泛得多。我们还表明,对造成生态偏倚的变量进行标准化或生态控制通常不足以消除此类偏倚。

相似文献

1
Ecological bias, confounding, and effect modification.生态偏倚、混杂因素及效应修饰。
Int J Epidemiol. 1989 Mar;18(1):269-74. doi: 10.1093/ije/18.1.269.
2
Linkage failures in ecological studies.生态研究中的连锁失败。
World Health Stat Q. 1995;48(2):78-84.
3
Mismeasurement and the resonance of strong confounders: uncorrelated errors.测量误差与强混杂因素的共振:不相关误差
Am J Epidemiol. 1996 May 15;143(10):1069-78. doi: 10.1093/oxfordjournals.aje.a008671.
4
Covariate balance for no confounding in the sufficient-cause model.协变量在充分病因模型中无混杂的均衡。
Ann Epidemiol. 2018 Jan;28(1):48-53.e2. doi: 10.1016/j.annepidem.2017.11.005. Epub 2017 Nov 23.
5
The control of confounding by intermediate variables.通过中间变量控制混杂因素
Stat Med. 1989 Jun;8(6):679-701. doi: 10.1002/sim.4780080608.
6
Ecological effects in multi-level studies.多层次研究中的生态效应。
J Epidemiol Community Health. 2000 May;54(5):367-74. doi: 10.1136/jech.54.5.367.
7
[Causality and confounding in epidemiology].[流行病学中的因果关系与混杂因素]
Gesundheitswesen. 2011 Dec;73(12):884-7. doi: 10.1055/s-0031-1287843. Epub 2011 Dec 22.
8
Epidemiologic studies: pitfalls in interpretation.流行病学研究:解读中的陷阱。
Dialogues Contracept. 1995 Winter;4(5):5-6, 8.
9
Combining ecological and individual variables to reduce confounding by indication: case study--subarachnoid hemorrhage treatment.结合生态变量和个体变量以减少指征性混杂:病例研究——蛛网膜下腔出血治疗
J Clin Epidemiol. 2000 Dec;53(12):1236-41. doi: 10.1016/s0895-4356(00)00251-1.
10
Estimating and correcting for confounder misclassification.估计混杂因素误分类并进行校正。
Am J Epidemiol. 1989 May;129(5):1062-71. doi: 10.1093/oxfordjournals.aje.a115210.

引用本文的文献

1
The Covid-19 hospitalization risk associated with air pollution in New York state counties after the 2023 Quebec wildfires.2023年魁北克野火后纽约州各县空气污染与新冠病毒住院风险的关联。
J Public Health Res. 2025 Aug 12;14(3):22799036251361430. doi: 10.1177/22799036251361430. eCollection 2025 Jul.
2
Association of Visceral Adiposity and Sarcopenia with Geospatial Analysis and Outcomes in Acute Pancreatitis.内脏脂肪过多症和肌肉减少症与急性胰腺炎地理空间分析及预后的关联
J Clin Med. 2025 Apr 26;14(9):3005. doi: 10.3390/jcm14093005.
3
Long-Term Effect of Temperature Increase on Liver Cancer in Australia: A Bayesian Spatial Analysis.
澳大利亚温度升高对肝癌的长期影响:贝叶斯空间分析。
Environ Health Perspect. 2024 Sep;132(9):97007. doi: 10.1289/EHP14574. Epub 2024 Sep 13.
4
Sex-specific Association of Chronic Proton Pump Inhibitor Use With Reduced Bone Density and Quality.长期使用质子泵抑制剂与骨密度和质量降低之间的性别特异性关联。
J Clin Endocrinol Metab. 2025 May 19;110(6):e2071-e2079. doi: 10.1210/clinem/dgae598.
5
Conceptual and methodological recommendations for assessing the empirical validity of process measures of health care quality.评估医疗质量过程指标实证效度的概念性与方法学建议。
Health Serv Res. 2024 Oct;59(5):e14356. doi: 10.1111/1475-6773.14356. Epub 2024 Jul 22.
6
Spatiotemporal hierarchical Bayesian analysis to identify factors associated with COVID-19 in suburban areas in Colombia.用于识别哥伦比亚郊区与2019冠状病毒病相关因素的时空分层贝叶斯分析。
Heliyon. 2024 Apr 24;10(9):e30182. doi: 10.1016/j.heliyon.2024.e30182. eCollection 2024 May 15.
7
A comprehensive examination of mental health in patients with head and neck cancer: systematic review and meta-analysis.对头颈部癌症患者的心理健康进行全面检查:系统评价和荟萃分析。
JNCI Cancer Spectr. 2024 Apr 30;8(3). doi: 10.1093/jncics/pkae031.
8
Impact of Geospatial Food Access on Acute Pancreatitis Outcomes.地理空间食物可及性对急性胰腺炎结局的影响。
Dig Dis Sci. 2024 Jun;69(6):2247-2255. doi: 10.1007/s10620-024-08425-6. Epub 2024 Apr 22.
9
Livestock, pathogens, vectors, and their environment: A causal inference-based approach to estimating the pathway-specific effect of livestock on human African trypanosomiasis risk.家畜、病原体、病媒及其环境:一种基于因果推断的方法,用于估计家畜对人类非洲锥虫病风险的特定途径影响。
PLOS Glob Public Health. 2023 Nov 15;3(11):e0002543. doi: 10.1371/journal.pgph.0002543. eCollection 2023.
10
Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors.基于聚合个体水平预测因子的群组随机试验中亚组分析的考虑因素。
Prev Sci. 2024 Jul;25(Suppl 3):421-432. doi: 10.1007/s11121-023-01606-1. Epub 2023 Oct 28.