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analyses:berkey1995 [2021/11/08 15:59] – Wolfgang Viechtbaueranalyses:berkey1995 [2022/10/19 18:55] (current) – Wolfgang Viechtbauer
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 Berkey et al. (1995) describe the meta-analytic random- and mixed-effects models and provide the equation for the empirical Bayes estimator for the amount of (residual) heterogeneity (p. 398). The models and methods are illustrated with the BCG vaccine dataset (Colditz et al., 1994). The data are provided in Table 1 in the article and can be loaded with: Berkey et al. (1995) describe the meta-analytic random- and mixed-effects models and provide the equation for the empirical Bayes estimator for the amount of (residual) heterogeneity (p. 398). The models and methods are illustrated with the BCG vaccine dataset (Colditz et al., 1994). The data are provided in Table 1 in the article and can be loaded with:
 +
 <code rsplus> <code rsplus>
 library(metafor) library(metafor)
 dat.bcg dat.bcg
 </code> </code>
-The contents of the dataset are: +The contents of the dataset are:
 <code output> <code output>
    trial               author year tpos  tneg cpos  cneg ablat      alloc    trial               author year tpos  tneg cpos  cneg ablat      alloc
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 Model Results: Model Results:
  
-estimate      se     zval    pval    ci.lb    ci.ub  +estimate      se     zval    pval    ci.lb    ci.ub 
- -0.5429  0.1842  -2.9474  0.0032  -0.9040  -0.1819  ** + -0.5429  0.1842  -2.9474  0.0032  -0.9040  -0.1819  **
  
 --- ---
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 Model Results: Model Results:
  
-                  estimate      se     zval    pval    ci.lb    ci.ub  +                  estimate      se     zval    pval    ci.lb    ci.ub 
-intrcpt            -0.6303  0.1591  -3.9630  <.0001  -0.9421  -0.3186  ***  +intrcpt            -0.6303  0.1591  -3.9630  <.0001  -0.9421  -0.3186  *** 
-I(ablat - 33.46)   -0.0268  0.0110  -2.4294  0.0151  -0.0484  -0.0052    * +I(ablat - 33.46)   -0.0268  0.0110  -2.4294  0.0151  -0.0484  -0.0052    *
  
 --- ---
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 <code output> <code output>
         df     AIC     BIC    AICc   logLik    LRT   pval      QE  tau^2      R^2         df     AIC     BIC    AICc   logLik    LRT   pval      QE  tau^2      R^2
-Full     3 29.3011 30.9960 31.9678 -11.6506               35.8827 0.1572         +Full     3 29.3011 30.9960 31.9678 -11.6506               35.8827 0.1572
 Reduced  2 32.2578 33.3877 33.4578 -14.1289 4.9566 0.0260 85.8625 0.2682 41.3844% Reduced  2 32.2578 33.3877 33.4578 -14.1289 4.9566 0.0260 85.8625 0.2682 41.3844%
 </code> </code>
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 Model Results: Model Results:
  
-                  estimate      se     zval    pval    ci.lb    ci.ub  +                  estimate      se     zval    pval    ci.lb    ci.ub 
-intrcpt            -0.5949  0.0696  -8.5462  <.0001  -0.7314  -0.4585  ***  +intrcpt            -0.5949  0.0696  -8.5462  <.0001  -0.7314  -0.4585  *** 
-I(ablat - 33.46)   -0.0282  0.0040  -7.0696  <.0001  -0.0360  -0.0204  *** +I(ablat - 33.46)   -0.0282  0.0040  -7.0696  <.0001  -0.0360  -0.0204  ***
  
 --- ---
-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>
  
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 </code> </code>
 <code output> <code output>
-  pred ci.lb ci.ub  +  pred ci.lb ci.ub 
-1 0.55  0.48  0.63 +1 0.55  0.48  0.63
 2 0.43  0.36  0.52 2 0.43  0.36  0.52
 </code> </code>
analyses/berkey1995.txt · Last modified: 2022/10/19 18:55 by Wolfgang Viechtbauer