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 The data set also includes 2 (fictional) unpublished studies.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 |
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outlook | factor | Denotes whether a study is unpublished, and if so, what outlook it has.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.
1 2 3 4 5 6 7 8 9 10 | 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# To assign all unpublished studies to each of ten outlooks, one at a time,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
|
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
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