Additionally, we examined the relative contribution of recovery trends (linear, quadratic, cubic) and cycles (12-hr & 24-hr) to the overall variability in symptom expression. Light and noise sensitivity were most strongly related to diurnal & ultradian variation (R2=48% & 38%).
-
-
Prikaži ovu nit
-
Patients differed in the number & type of symptoms endorsed during recovery, as well as in the degree to which symptom variation was driven by temporal factors (i.e. variance explained). Consistent w/ prior work in my lab, networks differed significantly in density & structure.
Prikaži ovu nit
Kraj razgovora
Novi razgovor -
-
-
It’s an interesting paper! I just read it and I think that the captions of figure 1 and 2 got swapped, though?
-
Thanks! Yes, we caught that mistake at the proof stage and it still made it into the paper. A bit of a bummer. Alas.
Kraj razgovora
Novi razgovor -
-
-
1/ Nice! I remember once you mentioned that if you wanted to understand (to subsequently use) an individual’s idiographic symptom network, you wouldn’t take the measurement after they started a treatment like unguided self-help because of nonstationarity.
-
2/ could the methods you propose here address this? (I only skimmed the paper
) - Još 2 druga odgovora
Novi razgovor -
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.