The metafor Package

A Meta-Analysis Package for R

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tips:multiple_imputation_with_mice_and_metafor

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tips:multiple_imputation_with_mice_and_metafor [2019/10/09 12:46] – external edit 127.0.0.1tips:multiple_imputation_with_mice_and_metafor [2020/03/06 16:53] Wolfgang Viechtbauer
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 </code> </code>
  
-And finally, we can pool the results with:+And finally, we can pool (and round) the results with:
 <code rsplus> <code rsplus>
-pool <- pool(fit) +pool <- summary(pool(fit)
-round(summary(pool), 4)+pool[-1] <- round(pool[-1]digits=4) 
 +pool
 </code> </code>
 <code output> <code output>
-          estimate std.error statistic      df p.value +       term estimate std.error statistic      df p.value 
-intrcpt     0.3970    0.2418    1.6417 37.3121  0.1089 +1   intrcpt   0.3970    0.2418    1.6417 37.3121  0.1091 
-length      0.0132    0.0088    1.5052 37.1180  0.1405 +2    length   0.0132    0.0088    1.5052 37.1180  0.1407 
-wic1       -0.0638    0.1303   -0.4897 34.5222  0.6271 +3      wic1  -0.0638    0.1303   -0.4897 34.5222  0.6274 
-feedback1  -0.0066    0.1209   -0.0543 34.3060  0.9570 +feedback1  -0.0066    0.1209   -0.0543 34.3060  0.9570 
-info1      -0.3133    0.2307   -1.3583 37.5709  0.1824 +5     info1  -0.3133    0.2307   -1.3583 37.5709  0.1825 
-pers1      -0.3233    0.1937   -1.6689 37.5493  0.1034 +6     pers1  -0.3233    0.1937   -1.6689 37.5493  0.1035 
-imag1       0.2117    0.2096    1.0099 38.0212  0.3189 +7     imag1   0.2117    0.2096    1.0099 38.0212  0.3189 
-meta1       0.4623    0.1739    2.6583 37.4993  0.0114+8     meta1   0.4623    0.1739    2.6583 37.4993  0.0115
 </code> </code>
  
 For easier comparison, let's look at the coefficient table based on the complete case analysis obtained earlier: For easier comparison, let's look at the coefficient table based on the complete case analysis obtained earlier:
 <code rsplus> <code rsplus>
-round(coef(summary(res)), 4)+round(coef(summary(res)), digits=4)
 </code> </code>
 <code output> <code output>
-          estimate     se    zval   pval   ci.lb  ci.ub +            estimate     se    zval   pval   ci.lb  ci.ub 
-intrcpt     0.2689 0.2154  1.2484 0.2119 -0.1533 0.6910 +intrcpt       0.2689 0.2154  1.2484 0.2119 -0.1533 0.6910 
-length      0.0072 0.0078  0.9240 0.3555 -0.0081 0.0225 +length        0.0072 0.0078  0.9240 0.3555 -0.0081 0.0225 
-wic        -0.0472 0.1097 -0.4308 0.6666 -0.2622 0.1677 +wic          -0.0472 0.1097 -0.4308 0.6666 -0.2622 0.1677 
-feedback    0.0677 0.1080  0.6265 0.5310 -0.1440 0.2793 +feedback      0.0677 0.1080  0.6265 0.5310 -0.1440 0.2793 
-info       -0.2233 0.2029 -1.1006 0.2711 -0.6210 0.1744 +info         -0.2233 0.2029 -1.1006 0.2711 -0.6210 0.1744 
-pers       -0.1137 0.1898 -0.5992 0.5490 -0.4857 0.2582 +pers         -0.1137 0.1898 -0.5992 0.5490 -0.4857 0.2582 
-imag        0.4106 0.1847  2.2233 0.0262  0.0486 0.7726 +imag          0.4106 0.1847  2.2233 0.0262  0.0486 0.7726 
-meta        0.2010 0.1742  1.1537 0.2486 -0.1404 0.5424+meta          0.2010 0.1742  1.1537 0.2486 -0.1404 0.5424
 </code> </code>
  
tips/multiple_imputation_with_mice_and_metafor.txt · Last modified: 2022/08/03 11:35 by Wolfgang Viechtbauer