Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
Fuente:
arXiv
Saved in:
| Main Authors: | Young, Elliot H., Shah, Rajen D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023)
by: Young, Elliot H., et al.
Published: (2023)
Outrigger local polynomial regression
by: Young, Elliot H., et al.
Published: (2026)
by: Young, Elliot H., et al.
Published: (2026)
Change-point regression with a smooth additive disturbance
by: Pein, Florian, et al.
Published: (2021)
by: Pein, Florian, et al.
Published: (2021)
Cross-validation for change-point regression: pitfalls and solutions
by: Pein, Florian, et al.
Published: (2021)
by: Pein, Florian, et al.
Published: (2021)
Average partial effect estimation using double machine learning
by: Klyne, Harvey, et al.
Published: (2023)
by: Klyne, Harvey, et al.
Published: (2023)
Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
The shooting S-estimator for robust regression
by: Öllerer, Viktoria, et al.
Published: (2015)
by: Öllerer, Viktoria, et al.
Published: (2015)
Comparing multilevel and fixed effect approaches in the generalized linear model setting
by: Bai, He, et al.
Published: (2024)
by: Bai, He, et al.
Published: (2024)
On a class of binary regression models and their robust estimation
by: Hayashi, Kenichi, et al.
Published: (2025)
by: Hayashi, Kenichi, et al.
Published: (2025)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)
by: Guo, F. Richard, et al.
Published: (2023)
Fast and robust invariant generalized linear models
by: Knight, Parker, et al.
Published: (2025)
by: Knight, Parker, et al.
Published: (2025)
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)
by: De Santis, Riccardo, et al.
Published: (2022)
Inference for linear functionals of high-dimensional longitudinal proteomics data using generalized estimating equations
by: Xia, Lu, et al.
Published: (2022)
by: Xia, Lu, et al.
Published: (2022)
FRODO: A novel approach to micro-macro multilevel regression
by: McDonald, Shaun, et al.
Published: (2024)
by: McDonald, Shaun, et al.
Published: (2024)
Statistical inference for partially shape-constrained function-on-scalar linear regression models
by: Han, Kyunghee, et al.
Published: (2024)
by: Han, Kyunghee, et al.
Published: (2024)
Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)
by: Huang, Lei, et al.
Published: (2026)
Renewable estimation in linear expectile regression models with streaming data sets
by: Cao, Wei, et al.
Published: (2026)
by: Cao, Wei, et al.
Published: (2026)
Online robust estimation and bootstrap inference for function-on-scalar regression
by: Cheng, Guanghui, et al.
Published: (2024)
by: Cheng, Guanghui, et al.
Published: (2024)
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)
by: Luan, Yuanyuan, et al.
Published: (2023)
Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)
by: Young, Elliot H., et al.
Published: (2025)
Scalable and robust regression models for continuous proportional data
by: Lee, Changwoo J., et al.
Published: (2025)
by: Lee, Changwoo J., et al.
Published: (2025)
Sample size calculations for multilevel factorial longitudinal cluster randomised trials
by: Bowden, Rhys, et al.
Published: (2025)
by: Bowden, Rhys, et al.
Published: (2025)
A robust estimation and variable selection approach for sparse partially linear additive models
by: Martínez, Alejandra Mercedes
Published: (2025)
by: Martínez, Alejandra Mercedes
Published: (2025)
A Bayesian multilevel hidden Markov model with Poisson-lognormal emissions for intense longitudinal count data
by: Moraga, S. Mildiner, et al.
Published: (2024)
by: Moraga, S. Mildiner, et al.
Published: (2024)
Shape-restricted transfer learning analysis for generalized linear regression model
by: Li, Pengfei, et al.
Published: (2024)
by: Li, Pengfei, et al.
Published: (2024)
Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
by: St-Pierre, Julien, et al.
Published: (2025)
by: St-Pierre, Julien, et al.
Published: (2025)
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)
by: Maestrini, Luca, et al.
Published: (2024)
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model
by: Aanes, Fredrik Lohne
Published: (2025)
by: Aanes, Fredrik Lohne
Published: (2025)
Numerically robust square root implementations of statistical linear regression filters and smoothers
by: Tronarp, Filip
Published: (2024)
by: Tronarp, Filip
Published: (2024)
Asymmetric Laplace distribution regression model for fitting heterogeneous longitudinal response
by: Barbieri, Antoine, et al.
Published: (2025)
by: Barbieri, Antoine, et al.
Published: (2025)
Omitted covariates bias and finite mixtures of regression models for longitudinal responses
by: Alfo', Marco, et al.
Published: (2026)
by: Alfo', Marco, et al.
Published: (2026)
Contrastive linear regression
by: Zhang, Boyang, et al.
Published: (2024)
by: Zhang, Boyang, et al.
Published: (2024)
ROSE Random Forests for Robust Semiparametric Efficient Estimation
by: Young, Elliot H., et al.
Published: (2024)
by: Young, Elliot H., et al.
Published: (2024)
Large multi-response linear regression estimation based on low-rank pre-smoothing
by: Tian, Xinle, et al.
Published: (2024)
by: Tian, Xinle, et al.
Published: (2024)
Improved LARS algorithm for adaptive LASSO in the linear regression model
by: Kayanan, Manickavasagar, et al.
Published: (2024)
by: Kayanan, Manickavasagar, et al.
Published: (2024)
A new robust approach for the polytomous logistic regression model based on Rényi's pseudodistances
by: Castilla, Elena
Published: (2024)
by: Castilla, Elena
Published: (2024)
A robust contaminated discrete Weibull regression model for outlier-prone count data
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
Similar Items
-
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023) -
Outrigger local polynomial regression
by: Young, Elliot H., et al.
Published: (2026) -
Change-point regression with a smooth additive disturbance
by: Pein, Florian, et al.
Published: (2021) -
Cross-validation for change-point regression: pitfalls and solutions
by: Pein, Florian, et al.
Published: (2021) -
Average partial effect estimation using double machine learning
by: Klyne, Harvey, et al.
Published: (2023)