Conditional change model
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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.
[edit] References
- Plewis I., Analysing Change: Measurement and Explanation Using Longitudinal Data. Chichester UK: John Wiley & Sons, 1985.
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