The phrase
"effect regression" refers to a situation when a change or improvement that was achieved or experienced in the past is reversed or goes back to its previous state.
Full definition
We conducted an intent - to - treat analysis of the effect of the assigned experimental condition on each primary outcome using a mixed -
effects regression model.
We calculated geometric mean and 95 % confidence intervals for MRI - measured breast density at ages 25 — 29 years across quartiles of fat intake using linear mixed -
effect regression.
Multiple - linear mixed -
effect regression models were used to evaluate the association of sex hormones and sex hormone — binding globulin (SHBG) with % DBV, ADBV, and ANDBV.
For each grade level, we estimate the following school fixed -
effect regressions to obtain within school comparisonsYis = δ Asianis + β Xis + ηs + εis, [1]
Given the complexities of research in real - world settings, this routinely involves innovative research designs (e.g., cluster - randomization, multi-phase and piecewise designs, multiple baseline and dynamic wait - list designs), modern measurement methods (e.g., Rasch, IRT, bifactor measurement models), and advanced statistical models for longitudinal and nested data (e.g., mixed -
effect regression models, SEM - based models).
Logistic regressions were used to predict the likelihood of recovery at 18 months, and mixed -
effects regression analysis was applied to examine the association of severity and rates of improvement across time in the two treatment groups.