Eight-way independent factorial ANOVA extended into a three-tier hierarchical linear multiple regression model, was used to create a shower end use forecasting model, and indicated that household size and makeup, as well as the showerhead efficiency rating, are the most significant predictors of shower usage.
Data were analyzed using exploratory factor analysis, multiple linear regression, and hierarchical linear regression.
34 Hierarchical linear multiple regression analyses were performed to predict the number of sick leave days.
The adjusted logistic regression models controlled for the same possible confounders as in the linear multiple hierarchical regression models described above.
For the prediction of the number of sick leave days taken at three years follow up, hierarchical linear multiple regression analyses were performed.
In the linear multiple hierarchical regression models we wanted to investigate what kind of effect number of nights worked the last year (NNL) had on: BMI, alcohol consumption, smoking habits, when adjusting for possible confounding factors.
We will again use hierarchical linear multiple regression to test the effects of PNMS on child physical, cognitive, behavioral and motor development at each age, testing models similar to those described above for maternal mental health.
We developed the platform using a hierarchical linear statistical model capable of handling multiple levels of variation inherent to comparative proteomics experiments.
All analysis models are two-level, hierarchical linear models (HLM) estimated with the imputed data sets using HLM7's multiple imputation estimation procedure.
The differences between time intervals (baseline, 3 months) were analyzed with the multilevel analysis (linear mixed model), by which method the variance of the dependable variables is analyzed on multiple hierarchical levels (between different arms – COMBI, LIRA, and MET).
