Fleiss1993: Aspirin after Myocardial Infarction

In SAMURAI: Sensitivity Analysis of a Meta-analysis with Unpublished but Registered Analytical Investigations

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 The data set also includes 2 (fictional) unpublished studies.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outlook	factor	Denotes whether a study is unpublished, and if so, what outlook it has.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.
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.

Source

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

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# To assign all unpublished studies to each of ten outlooks, one at a time, 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

Example output

Loading required package: metafor
Loading required package: Matrix
Loading 'metafor' package (version 2.0-0). For an overview 
and introduction to the package please type: help(metafor).
           outlooks           m       m.se      m.lcl        m.ucl exp.m.lcl
1     very positive -0.29192964 0.09641715 -0.4809038 -0.102955498 0.6182244
2          positive -0.20632151 0.07166324 -0.3467789 -0.065864147 0.7069616
3         no effect -0.08688794 0.04670630 -0.1784306  0.004654716 0.8365821
4          negative  0.03093472 0.11145478 -0.1875126  0.249382088 0.8290186
5     very negative  0.11859526 0.16358769 -0.2020307  0.439221242 0.8170698
6  very positive CL -0.11463327 0.04553815 -0.2038864 -0.025380138 0.8155550
7       positive CL -0.10960273 0.04422183 -0.1962759 -0.022929537 0.8217855
8    current effect -0.10784136 0.04372807 -0.1935468 -0.022135919 0.8240313
9       negative CL -0.09230408 0.04394890 -0.1784423 -0.006165820 0.8365723
10 very negative CL -0.09381100 0.04309084 -0.1782675 -0.009354510 0.8367186
       exp.m exp.m.ucl        tau2         Q        Qpval
1  0.7468211 0.9021671 0.055423519  40.10502 3.062584e-06
2  0.8135715 0.9362580 0.023642726  22.19294 4.570705e-03
3  0.9167798 1.0046656 0.004893695  11.12221 1.948702e-01
4  1.0314182 1.2832322 0.089415808  68.77362 8.618452e-12
5  1.1259141 1.5514985 0.218144005 161.27487 8.656072e-31
6  0.8916931 0.9749392 0.004223148  10.63210 2.234288e-01
7  0.8961901 0.9773313 0.003712296  10.32051 2.432470e-01
8  0.8977700 0.9781073 0.003531511  10.20972 2.506139e-01
9  0.9118278 0.9938531 0.003687515  10.33902 2.420328e-01
10 0.9104548 0.9906891 0.003356740  10.12555 2.563241e-01

SAMURAI documentation built on May 1, 2019, 11:31 p.m.