Hi,

Desperately looking for some help in this! I have a model but I am not sure how to actually write the results. It is a gamma log link

The model looks something like:

```
modeltest <- brm(
formula = score ~ 1 + group +z.age,
data = df,
family = Gamma(link = "log"), seed = 64,chains = 5, control = list(adapt_delta = 0.99),
iter = 10000,
cores = 5
)
```

and the results something like:

```
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Intercept. -0.91 0.04 -0.99 -0.83 1.01 3260 62327
group2 -0.41 0.04 -0.50 -0.32 1.00 44478 90763
group3 -0.42 0.05 -0.51 -0.33 1.00. 102421 93703
z scoreage 0.06 0.02 0.02 0.10 1.00 10103 83437
```

**What is the estimate? Is it beta?** I’m not sure how I would write about this.

Am I right in thinking I need to exponentiate the estimate, est.error and CIs? In which case is the estimate now an odds ratio?

Thank you so much for your patience