These models contained terms for seed thickness and PSQI score as well as a parametric interaction term for seed thickness × PSQI score.
Breast cancer models contained terms for family history of breast cancer, BMI, age at first pregnancy (<20, 20 24, 25 29, 30 39, ⩾40), and parity (1 2, 3 4, ⩾5); ovarian cancer analyses were adjusted for parity.
The model contained terms for stratum, age of the respondent, and treatment arm.
Each model contains terms that are proportional to the residual of the incompressible MHD equations and is therefore numerically consistent.
An ANOVA model containing terms for preeclampsia and the tissue type was used to gain insight on their contributions.
The final optimal fit model contains terms for age, sex, age-sex interaction, smoking, blood pressure lowering drugs, and family history of premature myocardial infarction.
We then specified a model containing terms for the log of mean childhood BPb from 6 months to 6 years of age and the ratio of 6-year to 2-year BPb levels, as well as the five covariates identified above.
When the latency to press a lever was analysed as the response variable (in a model containing terms for probe value, contingency group, whether the lever pressed was associated with 1 pellet or 2 pellets, their interactions, treatment group and phase), there was no significant difference, by treatment, in the latency to respond across phase (LRT = 1.91, 1 df, p = 0.167; Model 6 in ESM).
We first fitted models that contained terms for diabetes, age and sex (Model 1).
To compare the structural covariance in the group of patients with PI and in the group of healthy controls, we used linear interaction models, which contained terms for the seed thickness and group, together with a seed thickness × group interaction term.
Model 2 contained terms for treatment, sex, age group, treatment-by-sex interactions, and treatment-by-age interactions.
