Binary outcomes are typically measured using surveys, medical records, or laboratory tests. The data is then coded as 0 or 1, where 0 might represent the absence of an outcome and 1 might represent its presence. This coding simplifies statistical analysis, enabling the use of logistic regression models and other statistical methods designed for binary data.
