A monotone single index model for missing-at-random longitudinal proportion data
From MaRDI portal
Publication:6571992
DOI10.1080/02664763.2023.2173156MaRDI QIDQ6571992
Shumei Sun, Debdeep Pati, Dipankar Bandyopadhyay, Satwik Acharyya
Publication date: 12 July 2024
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistics (62-XX)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Beta Regression for Modelling Rates and Proportions
- Bessel regression model: Robustness to analyze bounded data
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- What is meant by ``missing at random?
- Understanding predictive information criteria for Bayesian models
- The Bernstein polynomial basis: a centennial retrospective
- Some parametric models on the simplex
- Estimating the dimension of a model
- An improved acceptance procedure for the hybrid Monte Carlo algorithm
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Bayesian methods for dealing with missing data problems
- Semi-nonparametric estimation with Bernstein polynomials
- A survey of Bayesian predictive methods for model assessment, selection and comparison
- Variable dispersion beta regressions with parametric link functions
- A new Bayesian single index model with or without covariates missing at random
- Improved testing inferences for beta regressions with parametric mean link function
- Least squares estimation in the monotone single index model
- Optimal smoothing in single-index models
- The geometric foundations of Hamiltonian Monte Carlo
- Quasi-beta longitudinal regression model applied to water quality index data
- Efficient regularized isotonic regression with application to gene-gene interaction search
- Mixture densities for project management activity times: A robust approach to PERT
- A new robust regression model for proportions
- An Empirical Distribution Function for Sampling with Incomplete Information
- Maximum Likelihood Estimates of Monotone Parameters
- Missing Data in Longitudinal Studies
- Simplex Mixed‐Effects Models for Longitudinal Proportional Data
- Consistent Estimation of Scaled Coefficients
- Inference and missing data
- A Predictive Approach to Model Selection
- The Reduced Monotonic Regression Method
- Generalized Partially Linear Single-Index Models
- Bayesian Approach for Nonlinear Random Effects Models
- Penalized Spline Estimation for Partially Linear Single-Index Models
- A Random Effects Transition Model For Longitudinal Binary Data With Informative Missingness
- Statistical Analysis with Missing Data, Third Edition
- Multiple Imputation: Theory and Method
- A multivariate single-index model for longitudinal data
- Score estimation in the monotone single‐index model
- Identifiability of single-index models and additive-index models
- Missing-Data Methods for Generalized Linear Models
- Estimation in monotone single‐index models
- Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: a high dimensional pattern-mixture model
This page was built for publication: A monotone single index model for missing-at-random longitudinal proportion data