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. 2017 Aug 9;7:7673. doi: 10.1038/s41598-017-08117-4

Table 1.

Results of spatiotemporal regressions.

Parametric time trend models Non-parametric dynamic time trend model
Model 1a Model 1b Model 2
RR 2.5% CI 97.5% CI RR 2.5% CI 97.5% CI RR 2.5% CI 97.5% CI
Intercept 0.936 0.706 1.242 0.739 0.598 0.914 0.980 0.738 1.302
Year 1.009 1.001 1.017 1.008 1.001 1.016 NLE
Income (in €1,000) 0.994 0.989 0.999 NLE 0.995 0.990 1.001
Unemployment rate (in %) 1.015 1.007 1.023 NLE 1.016 1.008 1.023
Depression prevalence (in %) 1.010 0.997 1.023 1.009 0.996 1.022 1.008 0.995 1.021
General practitioners (per 100,000) 1.003 1.000 1.006 1.003 1.000 1.006 1.003 1.000 1.006
Psychiatrists (per 100,000) 1.000 0.999 1.002 1.000 0.998 1.002 1.000 0.998 1.002
Psychotherapists (per 100,000) 1.005 0.995 1.015 1.003 0.993 1.013 1.007 0.997 1.016
Population density (logged) 0.959 0.932 0.987 NLE 0.954 0.927 0.982
DIC 12,330 12,324 12,352
DIC null model 12,334 12,357

Note: NLE = estimated as non-linear effect, RR = relative risk, CI = credibility intervals.