Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package

被引：165

作者：

Crippa, Alessio ^{[1
]}

Orsini, Nicola ^{[1
]}

机构：

[1] Karolinska Inst, S-10401 Stockholm, Sweden

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2016年 / 72卷 / CS1期

关键词：

dose-response; meta-analysis; mixed-effects model; dosresmeta; R; GENERALIZED LEAST-SQUARES; TREND ESTIMATION; ALCOHOL; MODEL;

D O I：

10.18637/jss.v072.c01

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An increasing number of quantitative reviews of epidemiological data includes a dose-response analysis. Aims of this paper are to describe the main aspects of the methodology and to illustrate the novel R package dosresmeta developed for multivariate dose-response meta-analysis of summarized data. Specific topics covered are reconstructing covariances of correlated outcomes; pooling of study-specific trends; flexible modeling of the exposure; testing hypothesis; assessing statistical heterogeneity; and presenting in either a graphical or tabular way the overall dose-response association.

引用

页数：15

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