SAMURAI (version 1.2.1)

Fleiss1993: Aspirin after Myocardial Infarction

Description

A meta-analytic data set that includes 7 published placebo-controlled randomized studies of the effect of aspirin in preventing death after myocardial infarction. The data set also includes 2 (fictional) unpublished studies.

The defined binary outcome event is death, and is undesired. When using the function forestsens(), specify the option higher.is.better=FALSE.

Usage

data(Fleiss1993)

Format

A data frame with 9 observations on the following 8 variables.

	number
integer	Study numeric id (optional)
study	character
Name of study or principal investigator	year
integer	Year (optional)
outlook	factor
Denotes whether a study is unpublished, and if so, what outlook it has.	ctrl.n
integer	The sample size of the control arm.
expt.n	integer
The sample size of the experimental arm.	ctrl.events
integer	The number of (undesired) events within the control arm.

Source

Fleiss, JL. (1993) "The statistical basis of meta-analysis." Stat Methods Med Res. 2(2):121-45.

Details

The outlook of a study can be one of the following: published, very positive, positive, negative, very negative, current effect, no effect, very positive CL, positive CL, negative CL, or very negative CL.

Since the outcome event is undesired, when using the function forestsens(), specify the option higher.is.better=FALSE.

References

Guido Schwartzer. meta package.

Examples

library(SAMURAI)
data(Fleiss1993)

forestsens(table=Fleiss1993, binary=TRUE, higher.is.better=FALSE)

# To assign all unpublished studies to each of ten outlooks, one at a time, 
# and then return a table of summary effects, their 95% confidence interval, 
# and tau-squared.
summtab <- forestsens(table=Fleiss1993, binary=TRUE, higher.is.better=FALSE, all.outlooks=TRUE)
summtab