Notes on misspecifying the random effects distribution regarding analysis under the AB/BA crossover trial in dichotomous data – a Monte Carlo evaluation
From MaRDI portal
Publication:5087945
DOI10.1080/03610918.2018.1485939OpenAlexW2902351788MaRDI QIDQ5087945
Publication date: 4 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1485939
powerbiastype I errorgeneralized linear mixed modelcrossover trialinterval estimatormean-squared-errorpoint estimatorrandom effects logistic regression model
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Misspecifying the shape of a random effects distribution: why getting it wrong may not matter
- Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
- Misspecified maximum likelihood estimates and generalised linear mixed models
- A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
- Accurate Approximations for Posterior Moments and Marginal Densities
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- A Random Effects Model for Binary Data from Crossover Clinical Trials
- Ethical considerations concerning treatment allocation in drug development trials
- Calculation of Gauss Quadrature Rules
- Some Modified Matrix Eigenvalue Problems