Méta-analyse dans R utilisant le package metafor

Comment dois-je syntaxer la rmafonction du package metafor afin d'obtenir des résultats dans l'exemple réel d'une petite méta-analyse suivante? (statistique aléatoire SMD à effet aléatoire)

study,      mean1, sd1,    n1,  mean2,  sd2,   n2

Foo2000,    0.78,  0.05,   20,  0.82,   0.07,  25    
Sun2003,    0.74,  0.08,   30,  0.72,   0.05,  19    
Pric2005,   0.75,  0.12,   20,  0.74,   0.09,  29    
Rota2008,   0.62,  0.05,   24,  0.66,   0.03,  24    
Pete2008,   0.68,  0.03,   10,  0.68,   0.02,  10

Créez un bon data.frame:

df <- structure(list(study = structure(c(1L, 5L, 3L, 4L, 2L), .Label = c("Foo2000", 
"Pete2008", "Pric2005", "Rota2008", "Sun2003"), class = "factor"), 
    mean1 = c(0.78, 0.74, 0.75, 0.62, 0.68), sd1 = c(0.05, 0.08, 
    0.12, 0.05, 0.03), n1 = c(20L, 30L, 20L, 24L, 10L), mean2 = c(0.82, 
    0.72, 0.74, 0.66, 0.68), sd2 = c(0.07, 0.05, 0.09, 0.03, 
    0.02), n2 = c(25L, 19L, 29L, 24L, 10L)), .Names = c("study", 
"mean1", "sd1", "n1", "mean2", "sd2", "n2"), class = "data.frame", row.names = c(NA, 
-5L))

Exécutez la rmafonction:

library(metafor)
rma(measure = "SMD", m1i = mean1, m2i = mean2, 
    sd1i = sd1, sd2i = sd2, n1i = n1, n2i = n2, 
    method = "REML", data = df)

S'il vous plaît être conscient que cela rmasuppose (m1i-m2i). Il en résulte la méta-analyse univariée du modèle à effets aléatoires:

> rma(measure = "SMD", m1i = mean1, m2i = mean2, 
+     sd1i = sd1, sd2i = sd2, n1i = n1, n2i = n2, 
+     method = "REML", data = df)

Random-Effects Model (k = 5; tau^2 estimator: REML)

tau^2 (estimate of total amount of heterogeneity): 0.1951 (SE = 0.2127)
tau (sqrt of the estimate of total heterogeneity): 0.4416
I^2 (% of total variability due to heterogeneity): 65.61%
H^2 (total variability / within-study variance):   2.91

Test for Heterogeneity: 
Q(df = 4) = 11.8763, p-val = 0.0183

Model Results:

estimate       se     zval     pval    ci.lb    ci.ub          
 -0.2513   0.2456  -1.0233   0.3061  -0.7326   0.2300          

---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Vous voudrez peut-être changer l'estimation method, par exemple method = "DL"(mais je m'en tiendrai REML).