The article compares different methods for analyzing data from studies with only two measurement times. When there is little correlation between the measurements and complete data, five techniques give similar results. But with missing data or high correlation between measurements, bias can occur in some methods. Overall, all techniques work well with complete data, except for one when there is a moderate correlation between measurements. However, bias can be introduced when using incomplete data.