Fixed effects models are used in statistical analysis to control for unobserved variables that vary across entities but are constant over time, allowing researchers to isolate the effect of variables of interest. This approach is particularly useful in panel data analysis, where it helps to account for individual heterogeneity and reduce omitted variable bias.