Covariate Measurement Error in Logistic Regression

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

Polynomial regression with normal covariate measurement error

This paper derives the exact functional form of an error contaminated regression function when the error free regression is a polynomial function of error free covariates (discrete or continuous) which are contaminated by normally distributed measurement error, with coe¢cients which may be arbitrary functions of error free covariates. The form of higher order central moment error contaminated r...

متن کامل

Testing change-point in logistic models with covariate measurement error

We test the presence of a change of slope in a logistic regression model with covariate measured with errors. Under the null hypothesis of no change-point, estimation of a single intercept and slope can be carried out straightforwardly by various conditional score based methods. If the alternative hypothesis holds and indeed there exists a change-point, estimation becomes more challenging, neve...

متن کامل

Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation

When covariates are measured with error, inference based on conventional generalized linear models can yield biased estimatesof regressionparameters. This problem can potentiallybe rectiŽed byusing generalizedlinear latent and mixedmodels (GLLAMM), including a measurementmodel for the relationship between observed and true covariates. However, the models are typically estimated under the assump...

متن کامل

Bayesian analysis of logistic regression with an unknown change point and covariate measurement error.

We discuss Bayesian estimation of a logistic regression model with an unknown threshold limiting value (TLV). In these models it is assumed that there is no effect of a covariate on the response under a certain unknown TLV. The estimation of these models in a Bayesian context by Markov chain Monte Carlo (MCMC) methods is considered with focus on the TLV. We extend the model by accounting for me...

متن کامل

Correction for covariate measurement error in nonparametric regression

Many areas of applied statistics have become aware of the problem of measurement error-prone variables and their appropriate analysis. Simply ignoring the error in the analysis usually leads to biased estimates, like e.g. in the regression with error-prone covariates. While this problem has been discussed at length for parametric regression, only few methods exist to handle nonparametric regres...

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: The Annals of Statistics

سال: 1985

ISSN: 0090-5364

DOI: 10.1214/aos/1176349741