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Last data update: 2014.03.03

R: Fictional Data Set, with Binary Outcomes

BHHR2009p92

R Documentation

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A fictional meta-analytic data set with 6 published studies and 2 unpublished studies.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outlook	`factor`	Denotes whether a study is unpublished, and if so, what outlook it has.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.
expt.events	`integer`	The number of (undesired) events within the experimental arm.

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.

Source

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

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# To assign all unpublished studies to each of ten outlooks, one at a time, 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

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(SAMURAI)
Loading required package: metafor
Loading required package: Matrix
Loading 'metafor' package (version 1.9-8). For an overview 
and introduction to the package please type: help(metafor).
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SAMURAI/BHHR2009p92.Rd_%03d_medium.png", width=480, height=480)
> ### Name: BHHR2009p92
> ### Title: Fictional Data Set, with Binary Outcomes
> ### Aliases: BHHR2009p92
> ### Keywords: datasets
> 
> ### ** 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
           outlooks            m      m.se      m.lcl        m.ucl exp.m.lcl
1     very positive -0.657903376 0.1710337 -0.9931232 -0.322683553 0.3704180
2          positive -0.568333595 0.1256784 -0.8146588 -0.322008396 0.4427904
3         no effect -0.291478290 0.1577465 -0.6006557  0.017699116 0.5484519
4          negative -0.100906688 0.2540699 -0.5988745  0.397061155 0.5494297
5     very negative  0.002300395 0.3137890 -0.6127147  0.617315522 0.5418778
6  very positive CL -0.587645833 0.1330325 -0.8483847 -0.326906987 0.4281059
7       positive CL -0.542508112 0.1217421 -0.7811183 -0.303897902 0.4578937
8    current effect -0.469505907 0.1194194 -0.7035637 -0.235448113 0.4948188
9       negative CL -0.388364844 0.1294271 -0.6420373 -0.134692426 0.5262193
10 very negative CL -0.297552512 0.1553083 -0.6019513  0.006846238 0.5477418
       exp.m exp.m.ucl       tau2         Q        Qpval
1  0.5179361 0.7242030 0.14900845  21.68898 2.873642e-03
2  0.5664686 0.7246921 0.05401459  13.12538 6.911181e-02
3  0.7471582 1.0178567 0.12472971  24.97171 7.676118e-04
4  0.9040174 1.4874469 0.43424883  84.05695 2.044197e-15
5  1.0023030 1.8539445 0.70376555 145.52754 3.525968e-28
6  0.5556338 0.7211508 0.06666738  14.37154 4.495428e-02
7  0.5812885 0.7379362 0.04814458  12.60360 8.237602e-02
8  0.6253112 0.7902167 0.04619128  12.72037 7.922171e-02
9  0.6781649 0.8739847 0.06465476  15.53564 2.971446e-02
10 0.7426336 1.0068697 0.11900267  24.04531 1.118642e-03
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>