尽管一致性较差，但由于缺乏可用数据，邻里收入仍被用作家庭收入的替代指标。我们对家庭和邻里收入之间的错误分类进行了量化，并在只有邻里收入可用于评估收入不平等对结直肠癌死亡率的影响的情况下进行了定量偏差分析 (QBA)。这是一项针对 2006-14 年加拿大统计局诊断出的结直肠癌成人的回顾性研究加拿大人口普查健康与环境队列。使用了加拿大统计局的社区收入五分位数。人口普查家庭收入五分位数用于确定偏差参数并确认 QBA 的结果。我们使用多项模型计算了阳性和阴性预测值，并根据年龄、性别和农村居住地进行了调整。进行概率 QBA 是为了探讨在估计收入对 5 年死亡率的影响时暴露错误分类的影响。我们发现邻里收入和家庭收入之间的一致性较差：阳性预测值范围为 21% 至 37%。邻里收入对 5 年死亡率的偏倚调整风险与家庭收入对死亡的风险相似。最低收入五分位数与最高收入五分位数相比，偏差调整后的相对风险为 1.42 [95% 模拟区间 (SI) 1.32-1.53​​]，而家庭收入为 1.46 [95% 置信区间 (CI) 1.39-1.54]，家庭收入为 1.18 ( 95% CI 1.12-1.24) 邻里收入。QBA 可用于估计邻里收入对代表家庭收入的死亡率的调整后影响。我们研究的预测值可应用于仅具有社区收入的类似人群，以估计家庭收入对癌症死亡率的影响。© 作者 2024。由牛津大学出版社代表国际流行病学协会出版。

Despite poor agreement, neighbourhood income is used as a proxy for household income, due to a lack of data availability. We quantified misclassification between household and neighbourhood income and demonstrate quantitative bias analysis (QBA) in scenarios where only neighbourhood income is available in assessing income inequalities on colorectal cancer mortality.This was a retrospective study of adults with colorectal cancer diagnosed 2006-14 from Statistics Canada's Canadian Census Health and Environment Cohort. Neighbourhood income quintiles from Statistics Canada were used. Census household income quintiles were used to determine bias parameters and confirm results of the QBA. We calculated positive and negative predictive values using multinomial models, adjusting for age, sex and rural residence. Probabilistic QBA was conducted to explore the implication of exposure misclassification when estimating the effect of income on 5-year mortality.We found poor agreement between neighbourhood and household income: positive predictive values ranged from 21% to 37%. The bias-adjusted risk of neighbourhood income on 5-year mortality was similar to the risk of mortality by household income. The bias-adjusted relative risk of the lowest income quintile compared with the highest was 1.42 [95% simulation interval (SI) 1.32-1.53] compared with 1.46 [95% confidence interval (CI) 1.39-1.54] for household income and 1.18 (95% CI 1.12-1.24) for neighbourhood income.QBA can be used to estimate adjusted effects of neighbourhood income on mortality which represent household income. The predictive values from our study can be applied to similar cohorts with only neighbourhood income to estimate the effects of household income on cancer mortality.© The Author(s) 2024. Published by Oxford University Press on behalf of the International Epidemiological Association.