Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes (2022)
- Authors:
- Autor USP: PAULA, GILBERTO ALVARENGA - IME
- Unidade: IME
- Assunto: MODELOS LINEARES GENERALIZADOS
- Keywords: Generalized Linear Mixed Model; Generalized Log-Gamma Distribution; Misspecation of the Random-Effects; Extended Inverted Dirichlet Model; Diagnostic Analysis
- Language: Inglês
- Abstract: In the extant literature, hierarchical models typically assume a flexible distribution for the randomeffects. The random-effects approach has been used in the inferential procedure of the generalized linear mixed models . In this paper, we propose a random intercept gamma mixed model to fit correlated asymmetric positive continuous outcomes. The generalized log-gamma (GLG) distribution is assumed as an alternative to the normality assumption for the random intercept. Numerical results demonstrate the impact on the maximum likelihood (ML) estimator when the random-effect distribution is misspecified. The extended inverted Dirichlet (EID) distribution is derived from the random intercept gamma-GLG model that leads to the EID regression model by supposing a particular parameter setting of the hierarchical model. Monte Carlo simulation studies are performed to evaluate the asymptotic behavior of the ML estimators from the proposed models. Analysis of diagnostic methods based on quantile residual and COVARATIO statistic are used to assess departures from the EID regression model and identify atypical subjects. Two applications with real data are presented to illustrate the proposed methodology.
- Imprenta:
- Source:
- Título: Livro de Resumos
- Conference titles: Simpósio Nacional de Probabilidade e Estatística - SINAPE
-
ABNT
FABIO, Lizandra Castilho et al. Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes. 2022, Anais.. São Paulo: ABE, 2022. Disponível em: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf. Acesso em: 12 mar. 2026. -
APA
Fabio, L. C., Cysneiros, F. J. A., Paula, G. A., & Carrasco, J. M. F. (2022). Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes. In Livro de Resumos. São Paulo: ABE. Recuperado de https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf -
NLM
Fabio LC, Cysneiros FJA, Paula GA, Carrasco JMF. Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes [Internet]. Livro de Resumos. 2022 ;[citado 2026 mar. 12 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf -
Vancouver
Fabio LC, Cysneiros FJA, Paula GA, Carrasco JMF. Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes [Internet]. Livro de Resumos. 2022 ;[citado 2026 mar. 12 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf - On elliptical multilevel models
- Log-symmetric distributions: statistical properties and parameter estimation
- A semiparametric approach for joint modeling of median and skewness
- Log-symmetric regression models under the presence of uncensored, left- or right-censored observations: a semi-parametric approach
- An R implementation for generalized Birnbaum-Saunders distributions
- Random number generators for the generalized Birnbaum-Saunders distribution
- Influence diagnostics for elliptical semiparametric mixed models
- Partially linear models with p-order autoregressive skew-normal errors
- Uma alternativa simples para testar hipóteses com restrição nos parâmetros da regressão logística: simulação do poder do procedimento
- One-sided tests in linear models with multivariate t-distribution
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3186080.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
