Generalized single index modeling of longitudinal data with multiple binary responses
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Publication:6618364
DOI10.1002/sim.10139zbMATH Open1545.62604MaRDI QIDQ6618364
[[Person:6068477|Author name not available (Why is that?)]], Peihua Qiu
Publication date: 14 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
EM algorithmsingle-index modelmultiple responsesbinary responsesmixed-effects modelinglocal linear kernel smoothing
Cites Work
- Random-Effects Models for Longitudinal Data
- The EFM approach for single-index models
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Optimal smoothing in single-index models
- Semiparametric GEE analysis in partially linear single-index models for longitudinal data
- Analysis of correlated binary data under partially linear single-index logistic models
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL
- Investigating Smooth Multiple Regression by the Method of Average Derivatives
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Generalized Partially Linear Single-Index Models
- Penalized Spline Estimation for Partially Linear Single-Index Models
- Image Processing and Jump Regression Analysis
- An Adaptive Estimation of Dimension Reduction Space
- Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
- A multivariate single-index model for longitudinal data
- Multivariate single index modeling of longitudinal data with multiple responses
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