SAMURAI (version 1.2.1)

BHHR2009p92: Fictional Data Set, with Binary Outcomes

Description

A fictional meta-analytic data set with 6 published studies and 2 unpublished studies. The binary outcome event is not desired.

Usage

data(BHHR2009p92)

Format

A data frame with 8 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Denotes whether a study is unpublished, and if so, what outlook it has.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

Borenstein, Hedges, Higgins, and Rothstein. Introduction to Meta-analysis. Wiley, 2009, page 92.

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. Since this is the default setting for forestsens(), this does not need to be specified explicitly.

Examples

library(SAMURAI)
data(BHHR2009p92)

forestsens(table=BHHR2009p92, 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# To assign all unpublished studies to each of ten outlooks, one at a time, 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=BHHR2009p92, binary=TRUE, higher.is.better=FALSE, all.outlooks=TRUE)
summtab