Metaanalyse in R mit metafor package

Wie soll ich die rmaFunktion aus dem Metafor- Paket syntaxieren , um Ergebnisse im folgenden realen Beispiel einer kleinen Metaanalyse zu erhalten? (Zufallseffekt, zusammenfassende Statistik SMD)

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

Erstellen Sie eine richtige 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))

Führen Sie die Funktion aus rma:

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

Bitte beachten Sie, dass dies rmavoraussetzt (m1i-m2i). Dies führt zu der folgenden Metaanalyse des univariaten Zufallseffektmodells:

> 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 

Vielleicht möchten Sie die Schätzung ändern method, z. B. method = "DL"(aber ich würde dabei bleiben REML).