Selected article for: "effect modification and final model"
Author: Watkins, Rochelle E; Cooke, Feonagh C; Donovan, Robert J; MacIntyre, C Raina; Itzwerth, Ralf; Plant, Aileen J
Title: Influenza pandemic preparedness: motivation for protection among small and medium businesses in Australia
  • Document date: 2007_7_17
    • ID: 08gqn86z_21
    Snippet: Dependent variables were dichotomised for analysis due to skewed distributions and the small sample size. Initial model development included entry of variables into a forward stepwise model, with the probability criterion for entry set at 0.05 and exit at 0.10. The final models were developed manually to allow exploration of alternative model forms. A main effects model was initially determined. Effect modification was also explored, and the incl.....
    Document: Dependent variables were dichotomised for analysis due to skewed distributions and the small sample size. Initial model development included entry of variables into a forward stepwise model, with the probability criterion for entry set at 0.05 and exit at 0.10. The final models were developed manually to allow exploration of alternative model forms. A main effects model was initially determined. Effect modification was also explored, and the inclusion of interactions was determined by the significance of the change in log likelihood of the model. Crude odds ratios (COR), adjusted odds ratios (AOR) adjusted for the other variables in each model, and 95% confidence intervals (95%CI) are used to summarise the magnitude of association found between variables. All analyses were performed using SPSS version 13.0 (SPSS Inc., 2004) and the significance level was set at p ≤ 0.05.

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