Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1289/EHP334 |
Statistical Approaches for Estimating Sex-Specific Effects in Endocrine Disruptors Research | |
Buckley, Jessie P.1,2,3; Doherty, Brett T.3; Keil, Alexander P.3; Engel, Stephanie M.3 | |
2017-06-01 | |
发表期刊 | ENVIRONMENTAL HEALTH PERSPECTIVES |
ISSN | 0091-6765 |
EISSN | 1552-9924 |
出版年 | 2017 |
卷号 | 125期号:6 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | BACKGROUND: When a biologic mechanism of interest is anticipated to operate differentially according to sex, as is often the case in endocrine disruptors research, investigators routinely estimate sex-specific associations. Less attention has been given to potential sexual heterogeneity of confounder associations with outcomes. When relationships of covariates with outcomes differ according to sex, commonly applied statistical approaches for estimating sex-specific endocrine disruptor effects may produce divergent estimates. OBJECTIVES: We discuss underlying assumptions and evaluate the performance of two traditional approaches for estimating sex-specific effects, stratification and product terms, and introduce a simple modeling alternative: an augmented product term approach. METHODS: We describe the impact of assumptions regarding sexual heterogeneity of confounder relationships on estimates of sex-specific effects of the exposure of interest for three approaches: stratification, traditional product terms, and augmented product terms. Using simulated and applied examples, we demonstrate properties of each approach under a range of scenarios. RESULTS: In simulations, sex-specific exposure effects estimated using the traditional product term approach were biased when confounders had sex dependent associations with the outcome. Sex-specific estimates from stratification and the augmented product term approach were unbiased but less precise. In the applied example, the three approaches yielded similar estimates, but resulted in some meaningful differences in conclusions based on statistical significance. CONCLUSIONS: Investigators should consider sexual heterogeneity of confounder associations when choosing an analytic approach to estimate sex specific effects of endocrine disruptors on health. In the presence of sex-dependent confounding, our augmented product term approach may be advantageous over stratification when there is prior knowledge available to lit reduced models or when investigators seek an automated lest for effect measure modification. |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000413788400022 |
WOS关键词 | PRENATAL SMOKING ; CHILDREN ; PERFORMANCE ; CHILDHOOD ; ADOLESCENCE ; METABOLITE ; ADJUSTMENT ; PREGNANCY ; CHEMICALS ; COHORT |
WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23090 |
专题 | 资源环境科学 |
作者单位 | 1.Johns Hopkins Univ, Dept Environm Hlth & Engn, Baltimore, MD USA; 2.Johns Hopkins Univ, Dept Epidemiol, Baltimore, MD USA; 3.Univ North Carolina Chapel Hill, Dept Epidemiol, Chapel Hill, NC USA |
推荐引用方式 GB/T 7714 | Buckley, Jessie P.,Doherty, Brett T.,Keil, Alexander P.,et al. Statistical Approaches for Estimating Sex-Specific Effects in Endocrine Disruptors Research[J]. ENVIRONMENTAL HEALTH PERSPECTIVES,2017,125(6). |
APA | Buckley, Jessie P.,Doherty, Brett T.,Keil, Alexander P.,&Engel, Stephanie M..(2017).Statistical Approaches for Estimating Sex-Specific Effects in Endocrine Disruptors Research.ENVIRONMENTAL HEALTH PERSPECTIVES,125(6). |
MLA | Buckley, Jessie P.,et al."Statistical Approaches for Estimating Sex-Specific Effects in Endocrine Disruptors Research".ENVIRONMENTAL HEALTH PERSPECTIVES 125.6(2017). |
条目包含的文件 | 条目无相关文件。 |
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