Dose-response meta-analysis is being increasingly applied in evidence production and clinical decision. The research method, synthesizing certain dose-specific effects across studies with the same target question by a certain types of weighting schedule to get a mean dose-response effect, is to reflect the dose-response relationship between certain exposure and outcome. Currently, the most popular method for dose-response meta-analysis is based on the classical "two-stage approach", with the advantage that it allows fixed- or random-effect model, according to the amount of heterogeneity in the model. There are two types of random-effect model available for dose-response meta-analysis, that is, the generally model and the coefficient-correlation-adjusted model. In this article, we briefly introduce two models and illustrate how they are applied in Stata software, which is expected to provide theoretical foundation for evidence-based practice.
Citation：
ZHANG Chao, GAO Zhengyan, HUANG Jingyu, LI Sheng, NIU Yuming, XU Chang, HAN Fangfang. The application of two random-effect models for dose-response meta-analysis. Chinese Journal of Evidence-Based Medicine, 2017, 17(5): 616-620. doi: 10.7507/1672-2531.201703042
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Copyright © the editorial department of Chinese Journal of Evidence-Based Medicine of West China Medical Publisher. All rights reserved
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- 1. 徐畅, 张永刚, 韩芳芳, 等. 剂量-反应关系 Meta 分析的方法学简介. 中国循证医学杂志, 2015, 15(10): 1236-1239.
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- 3. 黄静宇, 张超, 李胜, 等. 剂量-反应 Meta 分析之限制性立方样条函数的应用. 中国循证医学杂志, 2015, 15(12): 1471-1474.
- 4. Zhang C, Chen WW, Liu Y, et al. Introduction to methodology of Dose-Response Meta-Analysis with an Application on software. J Evid Based Med. 2017, in press.
- 5. Liu TZ, Xu C, Rota M, et al. Sleep duration and risk of all-cause mortality: A flexible, non-linear, meta-regression of 40 prospective cohort studies. Sleep Med Rev. 2017, 32: 28-36.
- 6. Orsini N, Li R, Wolk A, et al. Meta-analysis for linear and nonlinear dose–response relations: examples, an evaluation of approximations, and software. Am J Epidemiol, 2012, 175(1): 66-73.
