Statistical Considerations in Meta-analysis

被引:22
作者
Barza, Michael [2 ,3 ]
Trikalinos, Thomas A. [1 ,3 ]
Lau, Joseph [1 ,3 ]
机构
[1] Tufts Med Ctr, Inst Clin Res & Hlth Policy Studies, Ctr Clin Evidence Synth, Boston, MA 02111 USA
[2] Caritas Carney Hosp, Dept Med, Boston, MA USA
[3] Tufts Univ, Sch Med, Boston, MA 02111 USA
关键词
Systematic review; Meta-analysis; Meta-regression; Quantitative synthesis; Pooling; DIAGNOSTIC-TEST ACCURACY; INDIVIDUAL PATIENT DATA; CLINICAL-TRIALS; SYSTEMATIC REVIEWS; MYOCARDIAL-INFARCTION; RANDOMIZED-TRIALS; UNDERLYING RISK; HETEROGENEITY; QUALITY; ASSOCIATIONS;
D O I
10.1016/j.idc.2009.01.003
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Systematic reviews and meta-analyses have recently emerged as key sources of evidence to inform clinical care, from bedside individualized decisions to policy making. This article discusses the principles behind statistical methods for quantitative evidence synthesis, including meta-analysis and meta-regression. The authors present pertinent concepts in an intuitive and nonmathernatical fashion by use of examples from the infectious diseases literature.
引用
收藏
页码:195 / +
页数:17
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