Work

Two-stage Individual Participant Data Meta-analysis and Generalized Forest Plots

Year: 2015

Type: review

Abstract: 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.

Source: The Stata Journal Promoting communications on statistics and Stata

DOI: 10.1177/1536867x1501500203

Author: David J. Fisher

Institution: MRC Clinical Trials Unit at UCL

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: University College London, Medical Research Council

OpenAlex ID: W2263012437

FWCI: 0.832

Cites: 34

Cited by: 127

Related to: 10