Latent Trajectories and Predictors of Cognition: A Traumatic Brain Injury Model Systems Study

Supplementary Table 1 shows the proportion of missing data by variable stratified by class and computed maximum difference between classes and final predictors within the final backward stepwise multinomial logistic regression model.Supplementary Table 2 shows the comparison of demographic, clinical, and injury-related characteristics between participants included and excluded from the sample.Supplementary Table 3 shows the baseline demographic, clinical, and injury characteristics of 8060 participants by class trajectory membership.Supplementary Table 4 shows the model fit indices and classification quality parameters for 1-7 class model solutions from the latent class growth analysis on ordinal FIM-Cog data.Supplementary Table 5 shows the results of the backward stepwise multinomial logistic regression assessing the role of demographic, clinical, and injury-related characteristics on FIM-Cog trajectory membership.