Data Setup and Odds Ratio Algorithms

The results of two algorithms underpinning the data reduction of 95,846,511 diagnoses for 768,460 individuals to one odds ratio table stratified by age are detailed. The main purpose was to describe a population-based case study that examined for children and adults the relationship between mental disorder and the remaining main classes of the international classification of diseases (Version 9). The appendix includes the algorithm templates used in the presented case study and several peer-reviewed studies to define groups and shape the data set for analysis. While the analyses are written in a particular programming language, the logic underpinning the program structure would be the same across several analysis programs with variations in language-specific command definitions.