What do PHIS, KID, NIS, SASB, NHANES, NANST, SER and NTD, or alphabet soup for the urologist, mean? If you are confused about secondary data analysis of large datasets in urology, the review article by Schlomer and Copp (page 587) is a must read.1 The article reads as a how-to manual on understanding the significance of secondary data analysis, when it has been useful and what errors to avoid. The first section clarifies large data sets that are commonly used in uro-logical secondary data analysis studies. They specifically describe databases that we are all familiar with but some of us may not be quite clear on their advantages and/or limitations.
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