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Table 2 Overall FAIR adherence – ranking by the posterior estimates of the Bayesian logit model according to the type of diseases included in the database and geographic scope (only for registries)

From: Landscape analysis of available European data sources amenable for machine learning and recommendations on usability for rare diseases screening

Disease type

Median

2.5% CI

97.5% CI

Rank

Beta oxidation

6.2%

0.2%

27.9%

4

Endocrine

13.1%

4.8%

26.9%

3

Haematological

3.3%

0.1%

15.2%

5

Neuromuscular

18.8%

9.0%

32.7%

2

Other

22.1%

14.2%

31.6%

1

Geographical scope

 European registry

50.4%

27.4%

74.5%

1

 International registries coordinated in Europe

20.3%

3.2%

54.2%

3

 National registry

20.6%

10.5%

34.6%

2

 Other

13.8%

0.7%

53.2%

4

 Regional registry

3.6%

0.2%

17.1%

5