Prediction Accuracy in Multivariate Repeated-Measures Bayesian Forecasting Models with Examples Drawn from Research on Sleep and Circadian Rhythms

Figure 3

BMSE (i.e., accuracy) of MMSE predictions of the expected primary response for the bivariate random intercept model specified in (23), as a function of the amount of data collected on a secondary response variable , shown for different amounts of data collected on the primary response variable . The figure illustrates that the accuracy of individualized Bayesian forecasting predictions improves progressively with just a few measurements of the secondary response variable when measurements of the primary response variable are increasingly sparse.