Cover Image

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vu, Quan, Hui, Francis K. C., Muller, Samuel, Welsh, A. H.
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)

Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)

Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
by: Sahu, Soumya, et al.
Published: (2025)

Explainable Linear and Generalized Linear Models by the Predictions Plot
by: Rousseeuw, Peter J.
Published: (2024)

Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)

A Single Index Approach to Integrated Species Distribution Modeling for Fisheries Abundance Data
by: Vu, Quan, et al.
Published: (2025)

Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)

Robust Linear Mixed Models using Hierarchical Gamma-Divergence
by: Sugasawa, Shonosuke, et al.
Published: (2024)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments
by: Mann, Charlotte Z., et al.
Published: (2024)

Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity
by: Piancastelli, Luiza S. C., et al.
Published: (2024)

An Ising Similarity Regression Model for Modeling Multivariate Binary Data
by: Tho, Zhi Yang, et al.
Published: (2024)

Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
by: Krennmair, Patrick, et al.
Published: (2022)

Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
by: Hong, Anni, et al.
Published: (2024)

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023)

Is Repeated Bayesian Interim Analysis Consequence-Free?
by: Liu, Suyu, et al.
Published: (2025)

Bayesian Modeling and Prediction of Generalized Contact Matrices
by: Dan, Shozen, et al.
Published: (2026)

Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
by: Clark, Samuel J.
Published: (2026)

Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
by: Daza, Eric J., et al.
Published: (2022)

Density Prediction of Income Distribution Based on Mixed Frequency Data
by: Wang, Yinzhi, et al.
Published: (2025)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)

A generative approach to frame-level multi-competitor races
by: Stokes, Tyrel, et al.
Published: (2023)

A General Mixture Loss Function to Optimize a Personalized Predictive Model
by: Krikella, Tatiana, et al.
Published: (2026)

Linear Model and Extensions
by: Ding, Peng
Published: (2024)

Modeling Event Dynamics by Self-Exciting Processes with Random Memory
by: Peng, K. Ken, et al.
Published: (2026)

Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
by: Linden, Ariel
Published: (2026)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)

Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)

Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
by: Kawano, Sho, et al.
Published: (2024)

Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
by: Matabuena, Marcos, et al.
Published: (2023)

Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
by: Huang, Shunzhuang, et al.
Published: (2025)

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics
by: Wu, Kejin, et al.
Published: (2026)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)