摘要
整合分析(meta-analysis)是对同一主题下多个独立实验结果进行综合的统计学方法,被认为是到目前为止最好的数量综合方法。在进行整合分析时,首选应提出统计假设,根据假设的不同可将整合分析分为固定效应模型(fixedeffect model)和随机效应模型(random effect model),前者假定有相似的多个研究在同一分组里有一个共同的真实效应值,由于取样误差,导致在实际效应值的测定中各研究间存在差别;在后者中,假定各研究间有随机变量,因此,不共享一个真实效应值。介绍了两种假设模型下整合分析的计算方法,并进行了实例分析。
Meta-analysis is a statistical method to summary independent studies under the same subject. Hypothesis is the dependence of analysis. There are two hypothesis models: fixed effect size model and random effect size model. In fixed-model, it is assumed that there is a real effect size in all studies, and it is sampling error that leads to the difference among studies. In random-model, it is assumed that there is a random variable in all studies, which and sampling error are sources of the difference among studies. These tow models were introduced and real sample analysis was done.
出处
《生态科学》
CSCD
2004年第4期292-294,共3页
Ecological Science
基金
广东省团队项目(003031)
