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題名 | 統合分析--(1)基本統計方法=Statistical Methods in Meta-Analysis |
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作者 | 葉明功; 白璐; Yeh, Ming-kung; Pai, Lu; |
期刊 | 醫學研究 |
出版日期 | 19980300 |
卷期 | 18:5 1998.03[民87.03] |
頁次 | 頁273-296 |
分類號 | 410.028 |
語文 | chi |
關鍵詞 | 統合分析; 統計; Meta-analysis; Statistics; |
中文摘要 | 統合分析是以系統性量化,結合資料,以達到具體客觀的評述。首先藉由系統化的定義問題,設定納入或排除條件,依次萃取資料,而後經由統計方法結合相關資料,以得到具體結論。其中統計方法的運用在統合分析研究中,佔有重要地位,可用於整合不同研究中相關之資料,比較差異,及求出信賴區間。本章將詳述各種常用之統計方法,以達上述之目標。包括二項式數據(以相對危險度、優勢比、率差比較)、順序數據,及累計統合分析,並以實例說明並印證之。 |
英文摘要 | Meta-analysis is a quantitative approach for systematically combining the results of previous research in order to arrive at conclusions about the body of research. Studies of a topic are first systematically identified. Criteria for including and excluding studies are defined, and data from the eligible studies are abstracted. Last, the data are combined statistically, yielding a quantitative estimate of the size of the effect of treatment and a test of homogeneity in the estimate of effect size. One of the key point is the statistical methods in meta-analysis. The goals of the statistical analysis of data from several studies are to estimate a summary measure of effect size, the variance of the summary estimate of effect size, and a confidence interval. This chapter describes the statistical methods that address these three goals. Section 1 discusses binary data using the relative risk, odds ratio and rate difference. Section 2 discusses the ordinal data, also shows some examples. Sections 3 discusses the cumulative meta-analysis. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。