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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

JOSS package review #12

Closed seabbs closed 4 years ago

seabbs commented 4 years ago

It can be very reassuring for users to get package code (as well as methods etc.) peer reviewed. JOSS is a good way of getting this done (I could have missed that you have already done this).

We are talking about getting as many Excel users to switch too R as possible and I think making your excellent package look as official as possible would be great.

Linked to #6

giabaio commented 4 years ago

The books have both been peer reviewed before it was published (over and above the post-publication comments and reviews). I have a paper in Journal of Statistical Software (to appear) for survHE, but not one for BCEA. At this stage, I'm not sure another paper on the software would contribute much more, though, I think --- given the point above about the books...

Closing this also, but as usual, happy to keep discussing.

seabbs commented 4 years ago

Fair enough.

My point was that this would be a review of the code, not the methods or application. Unless I am wrong neither the review of the book or the paper will have looked at the code/documentation extensively? A JOSS review checks that code and docs meet community best practices.

In JOSS the paper is a half-page abstract -the review looks at the code.

Example paper and review.