- Conditional change model
-
The conditional change model in statistics 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 groups). The method has some substantial advantages over the usual two-sample t-test recommended in textbooks.
References
- Plewis, I. (1985) Analysing Change: Measurement and Explanation Using Longitudinal Data. Wiley. ISBN 0471104442
- Aickin, M. (2009) Dealing With Change: Using the Conditional Change Model for Clinical Research, The Permanente Journal, 13 (2), 80–84
This statistics-related article is a stub. You can help Wikipedia by expanding it.