Bayesian Mixed-Effects Models
Cross-source consensus on Bayesian Mixed-Effects Models from 1 sources and 6 claims.
1 sources · 6 claims
Uses
Other
Highlighted claims
- Bayesian linear mixed-effects models will test whether change in dysfunctional cognitions predicts follow-up outcomes. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis
- Analyses will be conducted separately for child-reported symptom severity and clinician-rated clinical severity. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis
- All models will control for baseline symptom levels and baseline dysfunctional cognition levels. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis
- The models will include random intercepts for trials and random slopes for key predictors. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis
- Missing data will be handled through multiple imputation under a missing-at-random assumption within the Bayesian framework. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis
- Between-study heterogeneity will be estimated through variance components with 95% credible intervals. — Investigating dysfunctional cognition change as a putative mechanism of CBT for youth anxiety, OCD and PTSD: protocol for an individual participant data meta-analysis