| 刘晓航,王晨,严若华,彭晓霞,阴赪宏.基于队列研究估计暴露因素与罕见结局关联的统计方法选择[J].中华流行病学杂志,2023,44(7):1126-1132 |
| 基于队列研究估计暴露因素与罕见结局关联的统计方法选择 |
| Selection of statistical methods for estimating the association between exposure factors and rare outcomes based on cohort studies |
| 收稿日期:2023-01-06 出版日期:2023-07-15 |
| DOI：10.3760/cma.j.cn112338-20230106-00011 |
| 中文关键词: 队列研究 罕见结局 比值比 相对危险度 多因素回归 |
| 英文关键词: Cohort study Rare outcome Odds ratio Relative risk Multivariate analysis |
| 基金项目:国家重点研发计划（2016YFC1000105）；国家自然科学基金（72174128）；北京市自然科学基金-海淀原始创新联合基金（L222124）；北京市医院管理中心“青苗”计划专项（QML20231208） |
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| 中文摘要: |
| 比值比（OR）和相对危险度（RR）均是评估暴露因素与研究结局间关联的常用指标，在罕见结局的队列中，OR值常被用作RR值的近似估计，但RR值的意义更加清晰易解释。本研究旨在基于罕见结局队列研究，比较不同多因素回归模型获得RR与OR估计值的差别，为基于队列研究估计暴露因素与罕见结局间关联关系时选择多因素回归方法，以及优先报告关联大小估计指标提供参考。本研究基于中国出生队列数据开展实例研究，以全部病种的出生缺陷为研究结局，以受孕方式为暴露因素，纳入孕妇年龄、是否有出生缺陷家族史等有明确证据支持的变量作为协变量，分别拟合logistic回归、log-binomial回归以及Poisson回归，并比较OR和RR的点估计值及其95%CI。结果表明，在罕见结局队列研究中logistic回归估计的OR值与log-binomial回归及Poisson回归估计的RR值近似，但log-binomial回归及Poisson回归估计的效应值更接近1.00，且效应值的95%CI分布更窄，但可能存在不收敛或过离散问题。针对罕见结局的队列研究，在适用前提下，推荐优先报告基于log-binomial回归或Poisson回归获得的RR值。 |
| 英文摘要: |
| Odds ratio (OR) and relative risk (RR) are the most commonly used statistical indicators for the estimation of the association between exposure and outcome. In the cohort study with rare outcomes, the estimated OR approximately equals RR, but RR seems more interpretable. The study aims to explore the difference between OR and RR estimated by different multivariate analyses to provide reference for the selection of more appropriate multivariate regression methods and reporting indicators for estimating the association between exposure and rare outcome in cohort studies. This case study used the data from China birth cohort study. Modes of conception and congenital disabilities were regarded as exposure and outcome, respectively. Maternal age, family history of congenital disabilities with clear evidence were included as covariates. Logistic regression, log-binomial regression, and Poisson regression were used to estimate the OR and RR, respectively. Then, OR, RR, and their 95%CI estimated by three regression models were compared. The OR estimated by logistic regression was approximately equal to the RR estimated by log-binomial regression or Poisson regression. However, the RR estimated by log-binomial regression or Poisson regression was closer to 1.00, with a narrower 95%CI. Log-binomial regression or Poisson regression might have non convergence or over dispersion problems. It is recommended to report the RR obtained by log-binomial regression or Poisson regression in the cohort study with rare outcomes if applicable. |
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