When you have proof of effect modification in your study due to variable GENDER, you should adjust for GENDER in your analysis	True / False
True risk ratio of a study is 0.5 and the observed risk ratio is 0.9. The bias is away from the null	True/ False
There is no statistical test to confirm confounding	True / False
A screening test can be used as a confirmatory clinical diagnosis for a disease	True / False
If the crude odds ratio is 2.4 and the adjusted odds ratio is 0.9, you should proceed to report the crude odds ratio as your main study finding because it indicates a positive association	True / False
It is possible to have interaction on both additive and multiplicative scales at the same time in a study	True / False