Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model
نویسندگان
چکیده
منابع مشابه
Partial linear varying multi-index coefficient model for integrative gene-environment interactions.
Gene-environment (G×E) interactions play key roles in many complex diseases. An increasing number of epidemiological studies have shown the combined effect of multiple environmental exposures on disease risk. However, no appropriate statistical models have been developed to conduct a rigorous assessment of such combined effects when G×E interactions are considered. In this paper, we propose a p...
متن کاملEstimation of Partially Linear Varying-Coefficient EV Model Under Restricted condition
In this paper, we study a partially linear varying-coefficient errors-invariables (EV) model under additional restricted condition. Both of the parametric and nonparametric components are measured with additive errors. The restricted estimators of parametric and nonparametric components are established based on modified profile least-squares method and local correction method, and their asympto...
متن کاملVarying coefficient model for gene-environment interaction: a non-linear look
MOTIVATION The genetic basis of complex traits often involves the function of multiple genetic factors, their interactions and the interaction between the genetic and environmental factors. Gene-environment (G×E) interaction is considered pivotal in determining trait variations and susceptibility of many genetic disorders such as neurodegenerative diseases or mental disorders. Regression-based ...
متن کاملEfficient estimation of partially linear varying coefficient models
In this paper, we consider the problem of estimating a semiparametric partially linear varying coefficient model. We derive the semiparametric efficiency bound for the asymptotic variance of the finitedimensional parameter estimator. We also propose an efficient estimator for estimating the finitedimensional parameter of the model. Simulation results show substantial efficiency gain of our prop...
متن کاملQuantile Regression in Partially Linear Varying Coefficient Models by Huixia
Semiparametric models are often considered for analyzing longitudinal data for a good balance between flexibility and parsimony. In this paper, we study a class of marginal partially linear quantile models with possibly varying coefficients. The functional coefficients are estimated by basis function approximations. The estimation procedure is easy to implement, and it requires no specification...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2014
ISSN: 0277-6715
DOI: 10.1002/sim.6287