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The sampled time series in chaotic system are dependent on the initial selection of variables, while the attractors are invariant for fixed parameters.
Initial selection of variables was based on the bivariable analysis screening (p<0.25), and a backward elimination approach was used to identify a final multivariable model; values of p<0.05 were considered significant.
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The number of cells in the initial selection of explanatory variables was reduced by removing weaker explanatory variables (based on the Chi-Square statistic adjusted for other explanatory variables included in the model) until criterion ii) was satisfied.
The weaker explanatory variables removed from the initial selection of explanatory variables were employment status, physical activity and salt use at the table.
A national model was developed from the initial selection of explanatory variables.
The initial selection of explanatory variables consisted of age, BMI, smoking, fruit and vegetable consumption, employment status, physical activity and salt use at the table.
To satisfy criterion ii) it was necessary to reduce the number of cells in the initial selection of explanatory variables so that a sufficient number of cells had a sufficient number of observations.
Inadequate sample size contributed to an insufficient number of observations in the risk groups of the initial selection of explanatory variables and this may bias the risk estimates produced from such a model.
The initial selection of the explanatory variables was based on a literature review, field visits, visual examination of spatial data and data availability (for Data sources, see Table S7 and Appendix S8, in Additional file 1). Figure 5 Data layers for aboveground biomass (AGB) and the biophysical and anthropogenic variables used in this study for North and East Kalimantan.
The initial selection of the explanatory variables was based on a literature review, field visits, visual examination of spatial data and data availability (for Data sources, see Table S7 and Appendix S8, in Additional file 1).
Upper panel : the approach within each data set with initial selection of the 80%% most variable genes, and subsequent generation of linked matrices of gene correlation values and associated p values.
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