News

MCDA web app updated

01 Nov 2013 — Gert van Valkenhoef

We have just updated our web based multiple criteria decision analysis (MCDA) preference elicitation tool. This component will be used in ADDIS 2.0 to support benefit-risk decisions. It is currently available online at mcda.clinici.co. The new features include:

  • Workspaces and scenarios: store the intermediate results of preference elicitation in your browser.
  • Overview: shows the elicited preference information in one place.
  • Exact SWING: preference elicitation leading to an exact weighting.
  • Extensive refactoring of the client-side code and many bugfixes on both the client and server side.

You will need a recent browser; we recommend Mozilla Firefox or Google Chrome. Several examples are provided. You can also load your own benefit-risk assessments by exporting them from ADDIS 1.16.4 or later. We would be glad to hear your feedback.


R packages updated

01 Nov 2013 — Gert van Valkenhoef
  • Version 0.5-1 of the GeMTC R package fixes several bugs and improves the behavior of plotting functions. See the gemtc NEWS file on CRAN for a full changelog.
  • Version 0.3 of the hitandrun R package adds the ability to deal with arbitrary linear equality constraints, in addition inequality constraints. See the hitandrun NEWS file on CRAN for a full changelog.
  • Version 0.2-1 of the smaa R package fixes two minor bugs and improves the performance of the ranking entropy calculation. See the smaa NEWS file on CRAN for a full changelog.

GeMTC R package updated

24 Sep 2013 — Gert van Valkenhoef

Version 0.5 of the GeMTC R package has several new features:

  • Support for node-splitting models
  • Model fit diagnostics: Deviance Information Criterion (JAGS only)
  • Better support for rank probabilities

For a full changelog, see the NEWS file on the GeMTC CRAN page.


ADDIS 1.16.5 bugfix release

20 Sep 2013 — Gert van Valkenhoef

ADDIS v1.16.5 fixes several minor bugs. Specifically, it fixes compatibility problems for Java 6 and makes ClinicalTrials.gov results import more robust to missing data.