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Confounding factors were assessed at a 10%% difference between the odds ratios for the unadjusted and adjusted models.
The difference between the odds ratio of more affluent clients in the design variable model and the final model was calculated.
The difference between the odds of AGI in males and females was statistically significant only at the lowest income level (P < 0.001).
There was no significant difference between the odds ratio of breast cancer for patients in the highest quartile of serum folate and that for patients in the lowest quartile.
There was no statistical significant difference between the odds for transition from normo- to microalbuminuria and from micro- to macroalbuminuria with each SD increment in GDF-15 (P for interaction = 0.55).
There was no difference between the odds of multiple live birth for grade A embryos versus grade B embryos (4/27 (15%) v 81/423 (19%); 1.59, 0.49 to 5.17; P=0.44).
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The results showed that differences between the odds ratios in the DRUID case control studies may indeed be (partially) explained by random and systematic errors.
With regard to extrapulmonary only disease, there were no consistent differences between the odds of extrapulmonary disease and non-cavitary pulmonary disease by TST result.
Although the odds ratio may overestimate the risk if interpreted as a relative risk, substantial differences between the odds ratio and the relative risk are seen only when the effect size are large and the initial risk is high [ 38].
However, the difference between these odds ratios was not statistically significant (p = 0.085).
In the final column, the p value is reported, when there is a significant difference between the two odds ratios.
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