4 Data analysis for AMR

Data analysis is about identifying and summarising meaningful patterns in data that are of value to stakeholders. Descriptive analysis is the process of summarising data, while inferential statistics allow the user to investigate relationships between variables and assess whether there is evidence that one variable (an exposure variable) may be the cause of another variable (the outcome variable). In AMR data analyses, the exposure variables are usually those related to the potential risk factors (such as AMU), and the outcome variable is the resistance category or value. First, refresh your memory about how AMR is measured.