dat.lee2004

Results from studies examining the effectiveness of wrist acupuncture point P6 stimulation for preventing postoperative nausea.

datasets

A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.

Wolfgang Viechtbauer

metafor

Meta-Analysis Package for R

dat.lee2004 function

The data frame contains the following columns:<table><tr><td>
id </td>
<td> <code>numeric</code> </td>
<td> trial id number </td>
</tr><tr><td>
study </td>
<td> <code>character</code> </td>
<td> first author </td>
</tr><tr><td>
year </td>
<td> <code>numeric</code> </td>
<td> study year </td>
</tr><tr><td>
ai </td>
<td> <code>numeric</code> </td>
<td> number of patients experiencing nausea in the treatment group </td>
</tr><tr><td>
n1i </td>
<td> <code>numeric</code> </td>
<td> total number of patients in treatment group </td>
</tr><tr><td>
ci </td>
<td> <code>numeric</code> </td>
<td> number of patients experiencing nausea in the sham group </td>
</tr></table>

dat.lee2004: Studies on Acupoint P6 Stimulation for Preventing Nausea

Description

Usage

Arguments

Format

Details

Examples

id	`numeric`	trial id number
study	`character`	first author
year	`numeric`	study year
ai	`numeric`	number of patients experiencing nausea in the treatment group
n1i	`numeric`	total number of patients in treatment group
ci	`numeric`	number of patients experiencing nausea in the sham group