A semiparametric isotonic regression model for skewed distributions with application to DNA-RNA-protein analysis.
Biometrics
; 78(4): 1464-1474, 2022 12.
Article
en En
| MEDLINE
| ID: mdl-34492116
ABSTRACT
In this paper, we propose a semiparametric regression model that is built upon an isotonic regression model with the assumption that the random error follows a skewed distribution. We develop an expectation-maximization algorithm for obtaining the maximum likelihood estimates of the model parameters, examine the asymptotic properties of the estimators, conduct simulation studies to explore the performance of the proposed model, and apply the method to evaluate the DNA-RNA-protein relationship and identify genes that are key factors in tumor progression.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Modelos Estadísticos
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Biometrics
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos