Trial sequential boundaries for cumulative meta-analyses

被引：40

作者：

Miladinovic, Branko ^{[1
]}

Hozo, Iztok ^{[2
]}

Djulbegovic, Benjamin ^{[1
]}

机构：

[1] Univ S Florida, Ctr Evidence Based Med & Hlth Outcomes Res, Tampa, FL 33620 USA

[2] Indiana Univ Nortwest, Dept Math, Gary, IN USA

来源：

STATA JOURNAL | 2013年 / 13卷 / 01期

关键词：

st0284; metacumbounds; trial sequential analysis; cumulative meta-analysis; information size; Lan-DeMets bounds; monitoring boundary; cumulative z score; heterogeneity; CLINICAL-TRIALS; SIZE;

D O I：

10.1177/1536867X1301300106

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

We present a new command, met acumbounds, for the estimation of trial sequential monitoring boundaries in cumulative meta-analyses. The approach is based on the Lan-DeMets method for estimating group sequential boundaries in individual randomized controlled trials by using the package ldbounds in R statistical software. Through Stata's metan command, metacumbounds plots the Lan-DeMets bounds, z-values, and p-values obtained from both fixed and random-effects cumulative meta-analyses. The analysis can be performed with count data or on the hazard scale for time-to-event data.

引用

页码：77 / 91

页数：15

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