Hello! I am analyzing data from a national survey. In order to account for sample allocation and survey design, all estimates are weighted using survey weights in order to reflect the age and sex distribution of the household population aged 15 or older in the ten Canadian provinces. Furthermore, variance estimations such as standard error and 95% confidence intervals are calculated using bootstrap weights provided with the data. Given the nature of the data, we are using 'proc surveylogistic' in order to carry out a multivariate regression analysis. While the output provides the 95% CIs for the adjusted odds ratios (ORs), it does not provide the p-values. Note, I was told that the p-values for the parameter estimates that are provided in the output (i.e., Pr>Chi Sq) can be used for this purpose however, they are not in sync with what I would expect to be significant (or not significant) when compared against the 95% CI for the adjusted ORs. We've searched online and can't seem to find a specific procedure that will calculate the p-value for the adjuste ORs. Does anyone know how to do this? Thanks in advanced for your time!
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