1. A computer-implemented method of analyzing a dataset of pharmacovigilance data, comprising: (a) determining a sample size-independent measure of association between two conditions of interest in the dataset of pharmacovigilance data on a suitably programmed computing device; (b) analyzing a hypergeometric distribution to determine a measure of statistical unexpectedness between the conditions of interest in said dataset on a suitably programmed computing device, wherein said distribution is based on an urn model under a hypothesis that said conditions are statistically independent; and (c) displaying the measure of association with the measure of the statistical unexpectedness to identify, a significant association between the conditions of interest on a suitably programmed computing device.