Sarah N Clerjuste, Claire Guang, Dana Miller-Cotto, Nicole M McNeil
Unpacking the challenges and predictors of elementary-middle school students' use of the distributive property
Journal of experimental child psychology
progression parkinsons disease pd heterogeneous across patients affecting counseling inflating number patients needed test potential neuroprotective treatments moreover disease subtypes might require different therapies work uses datadriven approach investigate observed heterogeneity pd explained existence distinct pd progression subtypes derive stable pd progression subtypes unbiased manner analyzed multimodal longitudinal data three large pd cohorts performed extensive crosscohort validation latent time joint mixedeffects model ltjmm used align patients common disease timescale progression subtypes identified variational deep embedding recurrence vader cohort identified fastprogressing slowprogressing subtype reflected different patterns motor nonmotor symptoms progression survival rates treatment response features extracted datscan imaging digital gait assessments education alzheimers disease pathology progression subtypes could predicted rocauc 079 individual patients oneyear observation period used model training simulations demonstrated enriching clinical trials fastprogressing patients based predictions reduce required cohort size 43 results show heterogeneity pd explained two distinct subtypes pd progression stable across cohorts subtypes align brainfirst vs bodyfirst concept potentially provides biological explanation subtype differences predictive models enable clinical trials significantly lower sample sizes enriching fastprogressing patients