Two-stage individual participant data meta-analysis and generalized forest plots

被引：88

作者：

Fisher, David J. ^{[1
]}

机构：

[1] UCL, MRC Clin Trials Unit, London, England

来源：

STATA JOURNAL | 2015年 / 15卷 / 02期

关键词：

st0384; ipdmetan; forestplot; admetan; ipdover; meta-analysis; forest plot; individual participant data; survival; two-stage; time-to-event; prefix command; subgroup; RANDOM-EFFECTS MODEL; PATIENT DATA; POSTOPERATIVE RADIOTHERAPY; RANDOMIZED-TRIALS; CLINICAL-TRIALS; META-REGRESSION; ONE-STAGE; HETEROGENEITY; TIME;

D O I：

10.1177/1536867X1501500203

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

030301 [社会学]; 070101 [基础数学];

摘要：

In this article, I describe a command, ipdmetan, that facilitates two-stage individual participant data meta-analysis of any measure of effect and its standard error by fitting a specified model to data from each study.. The command can estimate random effects and heterogeneity statistics and include additional covariates and interactions. If individual participant data are available for certain studies and aggregate data for others, ipdmetan allows them to be combined in one analysis. This command can produce detailed and flexible forest plots, including ones outside the context of formal meta-analysis.

引用

页码：369 / 396

页数：28

共 38 条

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