14 research outputs found
Comparative versus noncombat-related Posttraumatic stress Disorder: A meta analysis of CBT treatment outcome
Understanding the Effectiveness of Cognitive-Behavioral Therapy across Different Pain Conditions: A Meta-Analysis
Impact of critical incidents Mental health of law enforcement officers: Current strategies and issues in prevention and intervention
Trauma and first responders: Psychological consequences of being an emergency dispatcher
Combat Versus noncombat-related Psdttratraumatic stress Disorder: A meta-analysis of CBT treatment outcome.
Nitrogen Vapor Shipment of Vitrified Cells: Challenges, Caution, and Emerging Opportunities
A composite likelihood inference in latent variable models for ordinal longitudinal responses
The paper proposes a composite likelihood estimation approach that uses bivariate instead of multivariate marginal probabilities for ordinal longitudinal responses using a latent variable model. The model considers time-dependent latent variables and item-specific random effects to be accountable for the interdependencies of the multivariate ordinal items. Time-dependent latent variables are linked with an autoregressive model. Simulation results have shown composite likelihood estimators to have a small amount of bias and mean square error and as such they are feasible alternatives to full maximum likelihood. Model selection criteria developed for composite likelihood estimation are used in the applications. Furthermore, lower-order residuals are used as measures-of-fit for the selected models