search

giabaio / BCEA

Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
https://gianluca.statistica.it/software/bcea/
GNU General Public License v3.0
40 stars 16 forks source link

Shiny web app with shinymeta #17

Open seabbs opened 4 years ago

seabbs commented 4 years ago

We discussed how suited your package was to a shiny app. It looks like you have implemented this which is great!

Would you be interested in implementing {shinymeta} so that the code that is being used can be outputted for the user? For some novice R users this could be a really great way of moving from a non-reproducible workflow to a reproducible one!

Linked to #6

giabaio commented 4 years ago

Yes --- there's a standalone webapp here. Also there's a function BCEAweb() inside the latest release of BCEA (which you probably have seen), which allows you to open up the web interface to run a BCEA analysis.

I have not worked with shinymeta and I think, sadly, it would not be a topic with high priority for me right now --- but certainly I agree with your comment and would be happy to discuss a possible implementation, if you (and possibly some colleagues/teammates?) were interested/had time to work on it!

seabbs commented 4 years ago

Awesome - the app looks great.

Again it would be nice to have this mentioned somewhere in the package docs (perhaps the README) as this seems like such a useful tool.

I have done some work with shinymeta and I am happy to take a look over the next few days. If you leave this issue open I will use it to link a pull request (the shiny code may be difficult to port so it may not be possible).

giabaio commented 4 years ago

OK --- let's re-assess soon!