Hello all,

I am conduting a meta-analysis to pool AUCs in two indepent studies with the random-effect model.

The codes are ass follows:

```
data<-read.csv("C:/Amsterdam Score.csv",header=T)
fit.AMS<-with(data5,valmeta(cstat=c.index,cstat.se=se.c.index,cstat.cilb=c.index.95CIl,cstat.ciub=c.index.95CIu,N=n,O=n.events,slab=Study))
fit.AMS
```

it alerts "Warning in qt((1 + level)/2, df = (k - 2)) : NaNs producing"

Can anyone help me to solve this problem?

many thanks