Learn R Programming

metafor (version 1.9-2)

dat.hine1989: Studies on Prophylactic Use of Lidocaine After a Heart Attack

Description

Results from 6 studies evaluating mortality from prophylactic use of lidocaine in acute myocardial infarction.

Usage

dat.hine1989

Arguments

format

The data frame contains the following columns: lll{ study numeric study number source character source of data n1i numeric number of patients in lidocaine group n2i numeric number of patients in control group ai numeric number of deaths in lidocaine group ci numeric number of deaths in control group }

source

Normand, S. T. (1999). Meta-analysis: Formulating, evaluating, combining, and reporting. Statistics in Medicine, 18, 321--359.

Details

Hine et al. (1989) conducted a meta-analysis of death rates in randomized controlled trials in which prophylactic lidocaine was administered to patients with confirmed or suspected acute myocardial infarction. The dataset describes the mortality at the end of the assigned treatment period for control and intravenous lidocaine treatment groups for six studies. The question of interest is whether there is a detrimental effect of lidocaine. Because the studies were conducted to compare rates of arrhythmias following a heart attack, the studies, taken individually, are too small to detect important differences in mortality rates. The data in this dataset were obtained from Table I in Normand (1999, p. 322).

References

Hine, L. K., Laird, N., Hewitt, P., & Chalmers, T. C. (1989). Meta-analytic evidence against prophylactic use of lidocaine in acute myocardial infarction. Archives of Internal Medicine, 149, 2694--2698.

Examples

Run this code
### load data
data(dat.hine1989)

### calculate risk differences and corresponding sampling variances
dat <- escalc(measure="RD", n1i=n1i, n2i=n2i, ai=ai, ci=ci, data=dat.hine1989)
dat

### meta-analysis of risk differences using a random-effects model
res <- rma(yi, vi, data=dat)
res

Run the code above in your browser using DataLab