Standardization of non-aggregated data: theory and practice

Direct standardization of rates is a classical method in epidemiology by wh ich the relationship between confounders and variables of analysis is balan ced between the samples or populations to be compared. While the method is appropriate if single variables of aggregated data sets are to be compared, it is limited with respect to handling many variables of different measure ment scale, especially in primary data situations. Therefore the method of direct standardization is adapted to the analysis of non-aggregated data. C omputation of not only rates but other statistics of central tendency and d ispersion as well as confidence intervals hence becomes feasible. In additi on it is possible to re-adjust the primary data weights in order to perform stratified analyses. A procedure to do so, based solely on the available o riginal weights without the need for analyzing the standard population is p roposed along with an extensive SAS macro. The utility allows for the rapid and standardized analysis and tabulation of large multi-variable data sets . Both the statistical and technical properties of the macro are discussed and its usage is explained as well as exemplified. (C) 2000 Elsevier Scienc e Ireland Ltd. All rights reserved.