Semiparametric estimation for joint modeling of colorectal cancer risk and functional biomarkers measured with errors

DOI10.1002/BIMJ.201000070zbMath1213.62172OpenAlexW2037658235WikidataQ35218141 ScholiaQ35218141MaRDI QIDQ3003004

Xiaoxi Zhang, Qi Long, Roberd M. Bostick

Publication date: 25 May 2011

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3175022

zbMATH Keywords

measurement errorsfunctional logistic models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Medical applications (general) (92C50)

Related Items (2)

Estimation on functional partially linear single index measurement error model ⋮ Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error

Cites Work

• Unnamed Item
• Unnamed Item
• Functional linear regression analysis for longitudinal data
• Smoothing splines estimators for functional linear regression
• Smoothing splines estimators in functional linear regression with errors-in-variables
• Generalized functional linear models
• Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments
• On rates of convergence in functional linear regression
• Estimation in generalized linear models for functional data via penalized likelihood
• Testing for Spatial Correlation in Nonstationary Binary Data, with Application to Aberrant Crypt Foci in Colon Carcinogenesis
• Conditional Estimation for Generalized Linear Models When Covariates Are Subject‐Specific Parameters in a Mixed Model for Longitudinal Measurements
• Logistic disease incidence models and case-control studies
• Asymptotic Statistics
• Parametric and Nonparametric Methods for Understanding the Relationship Between Carcinogen-Induced DNA Adduct Levels in Distal and Proximal Regions of the Colon
• Consistent Functional Methods for Logistic Regression With Errors in Covariates
• Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis
• Generalized Linear Models with Functional Predictors
• Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes
• Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis
• Functional Modelling and Classification of Longitudinal Data*
• A Bayesian analysis of colonic crypt structure and coordinated response to carcinogen exposure incorporating missing crypts

This page was built for publication: Semiparametric estimation for joint modeling of colorectal cancer risk and functional biomarkers measured with errors