This document discusses various software used in pharmacoepidemiology research. It describes statistical analysis packages like SAS and SPSS that are commonly used to analyze collected data. It also mentions more specialized software like WinBUGS, EpiInfo, and STATA designed for large dataset analysis. Decision-making software like CLEO and TREEAGE are explained. Spreadsheet programs like MS Excel are also used. The benefits of software include reduced analysis time and ability to identify patterns in large data. Potential issues include cost and complexity of software. Training is needed to ensure proper use.