Primary analysis was conducted using a MMRM of all study participants randomized, with treatment group, visit, the interaction of treatment group and visit (used as a categorical variable to allow for characterizing the temporal effects without assuming linearity), and participant as a random effect, using an unstructured covariance matrix.
When another person accompanies the older patient during the medical visit, the interaction becomes a triadic "physician-patient-other relationship".
Continuous secondary measures were explored using a mixed model repeated measurement (MMRM) analysis with independent variables being treatment group, visit, the interaction between treatment group and visit, and the corresponding baseline value.
Also visit and the interaction group visit were included to test for differences in the course of the values over time.
The remarkable finding that rats can be reciprocating animals, even though in the reported task there was no cost in cooperating nor temptation to defect, led us to re-visit the interactions between two rats during an iPD game where both cost and temptation are present.
For analysis of the PANSS total score in the overall population, the mixed model repeated measure (MMRM) included the fixed effects of treatment, pooled investigative site, visit, treatment-visit interaction, gender, predefined subpopulation (yes/no) as well as the continuous, fixed covariates of baseline score and baseline score-by-visit interaction.
NT-proBNP levels increased between each follow-up visit and the interactions between age and gender and gender and time of follow-up were significant effect modifiers.
The performance improvement manager recorded time performing the following tasks: 1) prior to the visit: preparation of the clinic note, review of the patient record; 2) during the visit: interaction with the patient with and without the computer, physical examination; and 3) after the visit: documentation of the visit (typing or dictating).
Intervention, time (coded as a 3-state categorical variable to denote visit number) and the interaction between intervention and time were entered as fixed factors in the model.
Change from baseline in phospho-tau in CSF was analyzed by using a mixed-effects repeated measurement model, adjusted for phospho-tau baseline value and including visit week and the interaction as repeated factors.
