Hello - any help you can give will be much appreciated! We have a dataset where we may not have enough power to detect a statistical difference for up to date status between racial/ethnic groups (sample size for some groups are <400). The raw dataset has birthdates the child received the immunization. I know how to create a variable (1 or 0) indicating whether this child was up-to-date for a particular vaccine or vaccine series by a certain age (i.e, 3 months for example). I inherited a SAS program that uses proc surveymeans, the ratio statement and creates a confidence interval for each of the required vaccines at certain age checkpoints. Problem is, since we have overlapping confidence intervals, there may not be enough power to detect a statistical difference. How do I for example, determine if for example, the percentage of children up-to-date for a particular racial/ethnic group (Blacks/African Americans for example) is statistically different from the percentage of children up-to-date in the group of 'All children' in the sample (i.e, Asians, Blacks, Whites, etc)? I'm familiar with chi-squared but isn't that only for categorical variables? Any help you can give is much appreciated! Thanks!
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