In both groups, women showed improvement in the four outcome measures.
Data were collected on four outcome variables of willingness-to-punish, willingness-to-reward, brand attitude, and purchase intention for each treatment group.
We used four outcome statistics to assess rates of predictive validity, and analyzed sources of heterogeneity using subgroup analysis and metaregression.
For all four outcome variables, the concept mapping group showed significantly greater gains from pre-test to post-test than the individual study group.
Discriminant function analysis found the socially irresponsible group was statistically significantly different from the other three experimental groups for all four outcome variables.
We analyzed the 2014 GDHS focusing on four outcome variables, i.e. antenatal check up, delivery in a health facility, delivery assisted by a trained person and out-of-pocket expenditure.
Four outcome measures, serving as proxies for criminal justice involvement and health, were tracked for the year prior to program enrollment (pre) and the period after leaving the program (post): Jail bookings, psychiatric hospitalization, medical hospitalization, and emergency department visits.
Based on the four outcome measures described in this study, it was observed that defects grafted with hydroxyapatite or natural coral showed significantly more bone formation than the negative control (empty defect) at 8 weeks.
Four outcome criteria were quantified: (1) ability to predict sequential healing events, (2) amount of bone formation at specific time points, (3) total time until healing, and (4) mechanical stability at specific time points.
We compared the minimal important difference (MID) values obtained by the receiver operating characteristics (ROC) curve approach using different strategies on four outcome measures to guide the optimal use of ROC curve.
Four outcome variables: physical health (SF12-physical), mental health (SF12-mental), log-transformed frailty index and death were then regressed on all other independent variables in separate models.
