The Newly-developed personal thermal sensation models and group-of-people-based thermal sensation models generated by support vector machine (SVM) based algorithms are applied to evaluate the occupants' thermal sensations.
All regression models and group-based t-tests were computed using IBM SPSS Statistics for Windows, Version 20.0.
Hence, we only examined a set of highly plausible models and grouped those with shared features into Families and Meta-Families.
Associations between housing and management factors and reproductive performance were analyzed by means of multivariate regression models and grouped logistic regression.
However, in a statement buried in the accounts, the firm admits: "The directors are in the process of assessing the company's operating model and group structure with regard to the Controlled Foreign Company tax regime".
The results of the logistic regression showed no association between any of the variables in the model and group, neither at individual level nor at multivariate level.
Regression modeling and group comparisons, as described above, were performed in SPSS 12.0 (SPSS, Inc., Chicago, IL).
Single-subject statistical contrasts were set up using the general linear model and group data were analyzed with a random-effects model.
Our findings related to staff model and group model HMO types should be replicated in other settings, and extended to other types of managed care.
The theoretical background is based on role modelling and group support and uses visualisation and reframing to support behavioural change.
