Fleiss1993: Aspirin after Myocardial Infarction
In SAMURAI: Sensitivity Analysis of a Meta-analysis with Unpublished but Registered Analytical Investigations

Description Usage Format Details Source References Examples

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 The data set also includes 2 (fictional) unpublished studies.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.

1	data(Fleiss1993)

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outlook	`factor`	Denotes whether a study is unpublished, and if so, what outlook it has.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.
expt.events	`integer`	The number of (undesired) events within the experimental arm.

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.

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

Guido Schwartzer. meta package.

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# To assign all unpublished studies to each of ten outlooks, one at a time, 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