Models including fixed effects only and random effects fit the data equally well and results detail the more parsimonious model not including the random effect (χ2 = 0, df = 1, P = 1.00).
Initial models included fixed effects for nutritional treatment (CHO vs. PRO), exercise modality (AEE vs. HIIT vs. HIRT), time (baseline vs. IP vs. 30 min vs. 60 min), two-way and three-way interactions, as well as baseline salivary estradiol level.
The models included fixed effects for treatment arm, time (six versus 12 weeks), and the stratification variable (centre).
Also, mixed models including fixed determinants of exposure in addition to random effects are in increasing use [ 13, 30- 33].
Models included fixed and random intercept, linear, and quadratic time parameters; if the fixed quadratic parameter was not significant, quadratic terms were dropped from the model.
Longitudinal analyses of the outcome measures were conducted using mixed linear models, including fixed effects and random intercepts on patient level.
All models included fixed effects for A1c months dichotomized above and below 1,000 (group variable), time, and time × group interaction, a random intercept, and random-effects for time.
VAS scores will be analysed using linear mixed effects models, including fixed effects of time and time dependent covariates as appropriate and random effects of individual.
The models included fixed effects for treatment condition (HCT-only control, Nutrition and WHC arms), time (baseline, 6 months and 12 months) and a treatment-by-time interaction.
In a first analysis, models included fixed effects for exposure (in four categories: FA, CAPs, O3, and CAPs + O3), age (linear continuous), sex, and asthmatic status (yes/no), and a random-subject intercept, modeling the primary outcome of change in HRV or BP between start and end of exposure as linear continuous variables.
