Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data

DOI10.1111/j.1541-0420.2007.00892.xzbMath1137.62073OpenAlexW2115980669WikidataQ31122825 ScholiaQ31122825MaRDI QIDQ3506500

Nancy D. Turner, Natasa Popovic, Tatiyana V. Apanasovich, Robert S. Chapkin, David Ruppert, Joanne R. Lupton, Raymond J. Carroll

Publication date: 13 June 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2659549

zbMATH Keywords

spatial statisticssemiparametric regressioncomposite likelihoodsingle index model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Medical applications (general) (92C50)

Related Items

Aspects of likelihood inference, Spatial Linear Regression with Covariate Measurement Errors: Inference and Scalable Computation in a Functional Modeling Approach, Semiparametric regression during 2003--2007, Composite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one values, A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data, A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components, Generalised partial linear single-index mixed models for repeated measures data, On composite marginal likelihoods

Uses Software

• SemiPar
• nlmdl

Cites Work

• Unnamed Item
• A pairwise likelihood approach to estimation in multilevel probit models
• Pairwise likelihood inference in spatial generalized linear mixed models
• Least-squares fitting from the variogram cloud
• Interpolation of spatial data. Some theory for kriging
• Nonparametric regression with correlated errors.
• A pairwise likelihood approach to analyzing correlated binary data
• On Estimation and Prediction for Spatial Generalized Linear Mixed Models
• Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models
• A note on pseudolikelihood constructed from marginal densities
• Testing for Spatial Correlation in Nonstationary Binary Data, with Application to Aberrant Crypt Foci in Colon Carcinogenesis
• A Composite Likelihood Approach in Fitting Spatial Point Process Models
• Pairwise Likelihood Inference for General State Space Models
• Model-Based Geostatistics
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields
• Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Semiparametric Regression
• Penalized Spline Estimation for Partially Linear Single-Index Models
• A Composite Likelihood Approach to Binary Spatial Data
• Spectral methods for nonstationary spatial processes
• Approximate Inference in Generalized Linear Mixed Models
• Bias correction in generalised linear mixed models with a single component of dispersion
• Pairwise likelihood methods for inference in image models
• On estimation in binary autologistic spatial models
• Composite likelihood estimation in multivariate data analysis
• An Optimum Property of Regular Maximum Likelihood Estimation