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Fig. 6 | Translational Neurodegeneration

Fig. 6

From: Neurofilament light and heterogeneity of disease progression in amyotrophic lateral sclerosis: development and validation of a prediction model to improve interventional trials

Fig. 6

Predictive performance of the NfL model in comparison to the ΔFRS and the lead-in approaches. The scatter plots show predicted versus measured ALSFRS-R slopes for the interventional period of a simulated clinical trial in the validation cohorts V1 (n = 40) and V2 (n = 33). Trend lines with grey areas (standard error) visualize systematic deviation from the perfect prediction (dashed lines). For each method and cohort, the change of variance, and RMSE and CoefD values are provided in the upper right corner. Note that the RMSE represents absolute values and can only be compared with one another within the same data set; the smaller the RMSE, the more precise the prediction. CoefD can range from − ∞ to 1, with the value of 1 meaning perfect prediction, positive values indicating the model adds predictive information, while negative values indicating the opposite. A decrease in variance indicates an increase in statistical power in a clinical trial

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