Relativized model factors were parameterized using standard remote assessment methods based on interpolated spatial data layers.
All model factors were considered as random.
All the model factors were considered as fixed under the GLM multivariate procedure.
None of the model factors were sufficient to explain why women attended none of the scheduled interconceptional visits.
In bivariate analyses, most Triandis model factors were similarly associated with receipt of both vaccines as they were to receipt of pneumococcal vaccine alone, for both age groups.
column indicates the error terms used for the F-tests; where necessary, linear combinations of different model factors were made [ 69].
However, in order for modelling to gain strength as a tool for health policy, it is critical that key model factors are made transparent so that users of models have a clear understanding of the model and its limitations.
The same model building strategy as for the model with fixed factors was used.
In this model, individual factors are considered along with their interactions.
Finite as well as infinite ranges for model input factors are allowed.
