Trouble replicating a simple OR table (Bayesian meta-analysis) I'm reading this intro to meta analysis from Columbia University, and I cannot replicate the Log OR in the very first table.

For the first study:
OR = (1/39)/(2/34) = .03/.06 = 0.44
Log OR = log(0.44) = -0.36
Where as the table shows -0.83. I'm puzzled. What elementary thing am I missing here?

The excerpt says the log odds ratios are normal approximated. Run the following R code to reproduce the results:
library(meta)
df <- data.frame(study=c("Morton", "Rasmussen","Smith","Abraham","Feldsted","Schechter","Ceremuzynski","LIMIT-2"),
                 MagDeaths=c(1, 9, 2, 1, 10, 1, 1, 90),
                 MagPatients=c(40, 135, 200, 48, 150, 59, 25, 1159),
                 PlaceboDeaths=c(2, 23, 7, 1, 8, 9, 3, 118),
                 PlaceboPatients=c(36, 135, 200, 46, 148, 56, 23, 1157))
fit <- metabin(MagDeaths, MagPatients, PlaceboDeaths, PlaceboPatients, data = df, sm="OR", fixed=TRUE, random=FALSE)
print(fit$TE) # print estimated treatment effects
print(fit$seTE) # print estimated standard errors of treatment effects

