Olkin95

Meta-analysis on Thrombolytic Therapy after Acute Myocardial Infarction

datasets

User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and R<c3><bc>cker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015):
- fixed effect and random effects meta-analysis;
- several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble);
- statistical tests and trim-and-fill method to evaluate bias in meta-analysis;
- import data from 'RevMan 5';
- prediction interval, Hartung-Knapp method for random effects model;
- cumulative meta-analysis and leave-one-out meta-analysis;
- meta-regression;
- generalised linear mixed models;
- produce forest plot summarising several (subgroup) meta-analyses.

Guido Schwarzer

General Package for Meta-Analysis

Olkin95 function

A data frame with the following columns:<table><tr><td>
author</td>
<td> first author </td>
</tr><tr><td>
year</td>
<td> year of publication </td>
</tr><tr><td>
event.e</td>
<td> number of events in experimental group
 </td>
</tr><tr><td>
n.e</td>
<td> number of observations in experimental group
 </td>
</tr><tr><td>
event.c</td>
<td> number of events in control group </td>
</tr></table>

Olkin95: Thrombolytic Therapy after Acute Myocardial Infarction

Description

Arguments

Format

Examples

*author*	first author
*year*	year of publication
*event.e*	number of events in experimental group
*n.e*	number of observations in experimental group
*event.c*	number of events in control group