| 单词 | meta-analysis |
| 释义 | meta-analysismet·a-a·nal·y·sis(mĕt′ə-ə-năl′ĭ-sĭs)meta-analysismeta-analysisa method by which the results of a number of quantitative studies can be analysed together to produce an overall impression from a field of research. This method lays emphasis on EFFECT SIZE as well as providing a SIGNIFICANCE TEST for the results. It has advantages over a conventional review in that it forces the analyst to evaluate the method and the results of a study more critically and that it provides an objective method for synthesizing the results from such studies. There are two basic approaches to meta-analysis. The first and most common approach involves combining the results from the studies in order to produce a single effect size, inferential statistic and probability. The second approach involves comparing studies which differ over some aspect of their method to see if the results of studies which utilized one design or measure differ from the results of studies employing a different design or method. By combining the results of a number of studies, meta-analysis can circumvent the problems of low STATISTICAL POWER which may characterize the individual studies. (See Cooper; 1998; Cooper and Hedges, 1994; Rosenthal, 1991)meta-analysismeta-analysis[met″ah-ah-nal´ĭ-sis]meta analysisA method that uses statistical techniques to combine results from different studies and obtain a quantitative estimate of the overall effect of a particular intervention or variable on a defined outcome—i.e., it is a statistical process for pooling data from many clinical trials to glean a clear answer. Meta-analysis produces a stronger conclusion than can be provided by any individual study.Cons Bias, potential for analytical sloppiness, lack of understanding of basic issues, failure to consider major covariates, and overstating the strengths and precision of the results. meta-analysisData synthesis, quantitative overview Data analysis A systematic method that uses statistical techniques for combining results from different studies to obtain a quantitative estimate of the overall effect of a particular intervention or variable on a defined outcome; MA produces a stronger conclusion than can be provided by any individual study. See Cochran Collaboration, Cumulative meta-analysis.meta-analysisAn attempt to improve the reliability of the findings of medical research by combining and analyzing the results of all discoverable trials on the same subject. In crude terms the advantages are obvious: trials that find against a hypothesis will cancel out the effect of those that find for it. Pooling of raw data is not, however, without statistical hazard and it has become apparent that meta-analysis can introduce its own sources of inaccuracy. The method is currently undergoing refinement. |
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