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When analysing the overall sample, all variables significant for males were included in the model plus daily alcohol intake, significant for females; however the regression involved an interaction term between gender and HIV status showing that women had worse NHP score which was not modified by their HIV status, whereas among men NHP score was impaired when HIV positive (Table 3).
In the whole sample all variables were normally distributed (Kolgomorov-Smirnov test; P<0.01 or more significant), therefore Pearson's correlation coefficient was used to assess correlations between the variables measured by our system and the scores obtained in the VMI and RPM tests.
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In the meat sample, all the other background variables differed between the production sectors except for age.
For the purpose of sample description, all variables were presented as mean ± SD or frequency, where appropriate.
Logistic regression was performed to predict a diabetes diagnosis outcome among the sample, using all variables found to be significant in bivariate analyses as well as variables with prior significance.
We sample all the variables at the grid nodes, producing a scheme that is straightforward to implement.
In the large sample, all psychological variables were entered into the regression analysis.
Statistical analysis was carried out using SPSS version 19.0 (SPSS Inc., Chicago, IL, USA) and Minitab 16 software and included the following steps: means, standard deviations, and p values (t test for independent samples) for all variables of both groups were calculated (Table 3).
The model was run 100,000 times -iterations- taking different random samples of all variables used (except for discount rate).
Appendix 9 shows average values and standard deviations for average firm shares of three levels of educational attainment in (a) the complete sample, (b) the sample for which all variables of interest are non-missing and (c) the final sample with non-missing information and firms that are observed in at least two consecutive years.
Although it remains positive, the significance indicates that potential differences could be attributed to differences in firm characteristics.7 Consistent with the results of the full sample, all control variable coefficients are significant and have the same directional effects and magnitude.
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