KEY MESSAGE: •  Statistical significance testing alone is not the most adequate manner to evaluate if there is indeed a clinically relevant effect •  Effect sizes should be added to significance testing •  Effect sizes facilitate the decision whether a clinically relevant effect is found, helps determining …

KEY MESSAGE(S): - Medical research will not improve if we simply interpret our results using the clear-cut difference between statistical significance and non-significance - Medical researchers should be more interested in the size of the observed result than in its statistical significance - Confidence …

The aim of the present study was to determine whether a diagnosis of diabetes mellitus (DM) in a primary setting is associated with an increased risk of subsequent depression. A retrospective cohort design was used based on the Registration Network Family Practice (RNH) database. Patients diagnosed with …