The metafor Package

A Meta-Analysis Package for R

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tips:clogit_paired_binary_data

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tips:clogit_paired_binary_data [2019/07/03 08:12] – external edit 127.0.0.1tips:clogit_paired_binary_data [2021/11/08 13:08] – Wolfgang Viechtbauer
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 <code rsplus> <code rsplus>
 library(metafor) library(metafor)
-rma.glmm(measure="OR", ai=ai, bi=bi, ci=ci, di=di, model="CM.EL", method="FE")+rma.glmm(measure="OR", ai=ai, bi=bi, ci=ci, di=di, model="CM.EL", method="EE")
 </code> </code>
 <code output> <code output>
-Fixed-Effects Model (k = 26)+Equal-Effects Model (k = 26)
 Model Type: Conditional Model with Exact Likelihood Model Type: Conditional Model with Exact Likelihood
  
 Tests for Heterogeneity: Tests for Heterogeneity:
 Wld(df = 25) =      NA, p-val = NA Wld(df = 25) =      NA, p-val = NA
-LRT(df = 25) = 32.0966, p-val = 0.1552+LRT(df = 25) = 32.0966, p-val = 0.1552                                                                                   
  
 Model Results: Model Results:
Line 140: Line 140:
  
 --- ---
-Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1+Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 </code> </code>
 Results again match what we obtained above. Results again match what we obtained above.
tips/clogit_paired_binary_data.txt · Last modified: 2022/08/03 11:31 by Wolfgang Viechtbauer