Statistical analysis
PsA, psoriasis
REGRESSION, PSORIASIS
The analyses detailed herein report comparative statistics that are descriptive and based on numerical differences, other than the logistic regression analysis. The multiple logistic regression model was used to establish the association of baseline characteristics (age, body mass index [BMI], sex, cigarette smoking experience, PsA presence, psoriasis duration, prior biologic usage, PASI, NAPSI, and C-reactive protein) and other factors (PASI response at week 16 and treatment re-allocation at week 28) with attainment of NAPSI 0/1 (near-complete or complete clearance) at week 24 and week 48 for all patients receiving guselkumab (i.e. both PASI90 responders and non-responders at week 28).Absolute NAPSI, f-PGA, PASI, and DLQI through week 48 were also reported for patients initially randomized to guselkumab, stratified according to whether they were bio-naïve or bio-experienced. Additionally, the change in NAPSI was reported for patients in the 