Description Usage Arguments Author(s) See Also Examples
The catmap.forest
creates forest plots of the individual study
Odds Ratios (OR) and Confidence Intervals (CI). It then summarizes the
data using a fixed-effects or random-effects pooled OR and CI.
1 | catmap.forest(catmapobject, fe.forest = FALSE, re.forest = FALSE)
|
catmapobject |
A catmap object created by |
fe.forest |
A boolean. Toggles whether the forest plot should get saved to the current working directory. |
re.forest |
A boolean. Toggles whether the forest plot should get saved to the current working directory. |
Algorithm designed and implemented by Kristin K. Nicodemus. Code modified and updated by Thom Quinn.
catmap
, catmap.forest
,
catmap.sense
, catmap.cumulative
,
catmap.funnel
1 2 3 | data(catmapdata)
catmapobject <- catmap(catmapdata, 0.95, TRUE)
catmap.forest(catmapobject, TRUE, TRUE)
|
# Pooled Estimates
Inverse Variance Fixed-Effects OR: 3.03514
Inverse Variance Fixed-Effects Lower Bound CI: 2.73984
Inverse Variance Fixed-Effects Upper Bound CI: 3.36226
Inverse Variance Fixed-Effects Chi-Square: 451.95912
Inverse Variance Fixed-Effects p-value: 0
Q Statistic (Heterogeneity) Chi-Square: 231.01883
Q Statistic (Heterogeneity) p-value: 0
DerSimonian & Laird Random-Effects OR: 2.31192
DerSimonian & Laird Random-Effects Lower Bound CI: 1.02905
DerSiminian & Laird Random-Effects Upper Bound CI: 5.19409
DerSimonian & Laird Random-Effects Chi-Square: 4.1181
DerSimonian & Laird Random-Effects p-value: 0.04243
# Individual Study Estimates
Study Fixed-Effects ORs Lower Bound CIs Upper Bound CIs Study Weights
1 Peter,2002 0.926412 0.7272249 1.180157 65.54907
2 Abrams,2001 1.106278 0.8324995 1.470092 47.51926
3 Todd,2003 6.801727 5.589127 8.277408 99.63674
4 Yu,2007 4.560721 3.846685 5.407299 132.5027
5 Wei,2007 2.03125 1.330289 3.101564 21.4433
[[1]]
GRID.VP.1::forestplot_margins
[[2]]
GRID.VP.3::forestplot_margins
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