Measuring the similarity of the case and control group in clinical studies has always been an important but also difficult task. Several statistics-based methods aimed at this exist but most of them utilize dimension reduction or estimation, therefore, there are certain cases where they are not adequate. In this paper, we propose 3 dissimilarity-based measures capable of evaluating case-control group pairs without the loss of valuable information
