Yesterday, I asked how to conduct a Bayesian logistic regression in another post. I have been advised to use the brms R package.
I have conducted this analysis, but being a beginner in statistics and coding, I need to know if my analysis is right.
I have a data set with one binary outcome ("Object"). Participants had to choose between two objects. I want to check if this choice was not influenced by a continuous predictor ("PHQ").
First, I have fitted a bayesian logistic regression model with Non-Informative Priors following tutorial of Fang & Van de Shoot (https://www.rensvandeschoot.com/tutorials/generalised-linear-models-with-brms/).
Could you help me to interpret these outputs?
- I see that the credibility interval contains the 0. Does could be in favour of an absence of effect of the predictor on the outcome?
- How to interpret estimate in a report?
Second I have repeat the procedure to fit e null model without predictor.
I have used the LOO function to compare the two models.
How can I interpret that? How is it informative for my hypothesis that PHQ (predictor) does not predict the binary outcome (Object)?
Thanks.
