| 林林,陈常中.应用Empower Stats软件估计基因环境交互作用研究中的样本含量[J].Chinese journal of Epidemiology,2013,34(3):290-293 |
| 应用Empower Stats软件估计基因环境交互作用研究中的样本含量 |
| Sample size estimation of gene—environmental interaction and the actual implementations on the Empower Stats software |
| Received:September 12, 2012 |
| DOI： |
| KeyWord: 基因环境交互作用 样本含量 检验效能 随机模拟 |
| English Key Word: Gene-environmental interaction Sample size Power Monte Carlo Method |
| FundProject:浙江省公共卫生检验检测重点学科群(XKQ一009一003) |
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| Abstract: |
| 在基因环境交互作用的研究中,传统的样本含量估计公式和设置的参数只考虑一种暴露,未考虑两个以上因素的交互作用,依此样本含量而进行的研究,其检验效能往往很低(文中以例1和例2说明).在基因-环境交互作用研究的设计阶段,可采用随机模拟法估计样本含量及检验效能.Empower Stats软件可以方便地实现上述分析,同时输出R统计模拟程序,并输出对每个模拟数据所做的回归方程参数. |
| English Abstract: |
| Objective To evaluate the overall prognostic effects of pregnancy-associated plasma protein-A (PAPP-A) in acute coronary syndrome (ACS)through a meta-analysis.Methods Literature was retrieved by formal searching of electronic databases (PubMed,EMBASE,OVID,Web of Knowledge,and the Cochrane Library) and by hand searching of reference lists of related articles.Random effects meta-analysis and relative risk were used to estimate the association between PAPP-A levels and adverse cardiovascular outcomes after ACS as well as preplanned subgroup analyses were conducted to identify the risk-subgroup interactions that could explain the between differences.Results A total of fourteen clinical trials were included in this Meta-analysis which involving 9413 patients.Pooled RR and their 95％ confidence intervals (CIs) for all eligible studies was 1.97 (1.49-2.60),which indicated a prognostic value of PAPP-A in patients with ACS.Differences in study design,measurement of association and duration of follow-up were responsible for the differences in results across the studies.Conclusion Our results suggested that a higher early blood PAPP-A could moderately increase the long-term risk of adverse cardiovascular outcomes and might serve as a valuable prognostic predictor in patients with ACS. |
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