The effects of interest are shown in Table 1.
Effects of interest were examined using t-tests with significance level of alpha=0.05.
However, even large-scale experiments are often underpowered to detect the effects of interest.
Effects of interest were examined with the contrasts constructed by linear combination of beta estimates of the regressors.
However, different scanning platforms can introduce systematic differences which confound true effects of interest.
At the first level, linear-weighted contrasts were used to identify effects of interest, providing contrast images for group effects analysed at the second (random-effects) level.
Having established the effects of interest at the behavioral level, we next turned to investigating the neural basis of empathic blame.
In order to quantify the effects of interest, hazard ratios (HR) along with 95% confidence intervals (CI) were estimated by the model.
For example, a meta-analysis (in settings other than neuroimaging) combines estimates of effects of interest and their uncertainty across studies.
We demonstrate that fitting this general, flexible regression-discontinuity model enables us to estimate several treatment effects of interest.
However, views of the negative effects of interest groups and ways of attempting to deal with them are different in democracies and authoritarian systems.
