An analysis of covariance markov model for interrupted time series experiments

A simple Markov model is described for the analysis of interrupted time series experiments that employ a control series. The procedure involves regressing the experimental preintervention series on the control preintervention series and then testing for change in the experimental postintervention series which is free of change in the control series.