Conditional change model
In statistics, the conditional change model is the analytic procedure in which change scores are regressed on baseline values, together with the explanatory variables of interest (often including an indicator of a treatment group). The method has some substantial advantages over the usual two-sample t-test recommended in textbooks.
- Plewis I., Analysing Change: Measurement and Explanation Using Longitudinal Data. Chichester UK: John Wiley & Sons, 1985.