Covariate-adjusted generalized linear models

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Covariate-Adjusted Generalized Linear Models

We propose covariate adjustment methodology for a situation where one wishes to study the dependency of a generalized response on predictors while both predictors and response are distorted by an observable covariate. The distorting covariate is thought of as a size measurement that affects predictors in a multiplicative fashion. The generalized response is modeled by means of a random threshol...

متن کامل

Imputation-based adjusted score equations in generalized linear models with nonignorable missing covariate values

We consider the estimation of unknown parameters in a generalized linear model when some covariates have nonignorable missing values. When an instrument, a covariate that helps identifying parameters under nonignorable missingness, is appropriately specified, a pseudo likelihood approach similar to that in Tang, Little, and Raghunathan (2003) or Zhao and Shao (2015) can be applied. However, thi...

متن کامل

Covariate-adjusted varying coefficient models.

Covariate-adjusted regression was recently proposed for situations where both predictors and response in a regression model are not directly observed, but are observed after being contaminated by unknown functions of a common observable covariate. The method has been appealing because of its flexibility in targeting the regression coefficients under different forms of distortion. We extend this...

متن کامل

Inference in generalized linear regression models with a censored covariate

The problem of estimating the parameters in a generalized linear model when a covariate is subject to censoring is studied. A newmethod based on an estimating function approach is proposed. The method does not assume a parametric form for the distribution of the response given the regressors and is computationally simple. In the linear regression case, the proposed approach implies the use of m...

متن کامل

Adjusted Likelihood Methods for Modelling Dispersion in Generalized Linear Models∗

This paper considers double generalized linear models, which allow the mean and dispersion to be modelled simultaneously in a generalized linear model context. Estimation of the dispersion parameters is based on a χ1 approximation to the unit deviances, and the accuracy of the saddle-point approximation which underlies this is discussed. Approximate REML methods are developed for estimation of ...

متن کامل

ذخیره 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: Biometrika

سال: 2009

ISSN: 0006-3444,1464-3510

DOI: 10.1093/biomet/asp012