:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Klimova, Anna
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2310.10271
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the analysis of sequential designs without a specified number of observations
by: Klimova, Anna, et al.
Published: (2025)

Piecewise-linear modeling of multivariate geometric extremes
by: Campbell, Ryan, et al.
Published: (2024)

General measures of effect size to calculate power and sample size for Wald tests with generalized linear models
by: Cochran, Amy L, et al.
Published: (2025)

Robust confidence intervals for generalized linear models
by: Panarotto, Andrea, et al.
Published: (2026)

Distributed variable screening for generalized linear models
by: Diao, Tianbo, et al.
Published: (2024)

Shape-restricted transfer learning analysis for generalized linear regression model
by: Li, Pengfei, et al.
Published: (2024)

Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies
by: Hanada, Keisuke, et al.
Published: (2025)

Causal generalized linear models via Pearson risk invariance
by: Polinelli, Alice, et al.
Published: (2024)

Fast and robust invariant generalized linear models
by: Knight, Parker, et al.
Published: (2025)

Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
by: Fokkema, Marjolein, et al.
Published: (2023)

Tree-based variational inference for Poisson log-normal models
by: Chaussard, Alexandre, et al.
Published: (2024)

Posterior accuracy and calibration under misspecification in Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2023)

Post-selection inference in generalized linear models via parametric programming
by: Shen, Qinyan, et al.
Published: (2026)

Comparing multilevel and fixed effect approaches in the generalized linear model setting
by: Bai, He, et al.
Published: (2024)

Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models
by: Zhou, Yi, et al.
Published: (2024)

Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)

Robust heavy-tailed versions of generalized linear models with applications in actuarial science
by: Gagnon, Philippe, et al.
Published: (2023)

Estimation and exclusion restrictions in clustered linear models
by: Mikusheva, Anna, et al.
Published: (2025)

Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
by: Young, Elliot H., et al.
Published: (2024)

Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)

Simultaneous inference for generalized linear models with unmeasured confounders
by: Du, Jin-Hong, et al.
Published: (2023)

Federated generalized linear mixed models based on one-time shared summary statistics
by: Limpoco, Marie Analiz April, et al.
Published: (2026)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
by: St-Pierre, Julien, et al.
Published: (2025)

Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes
by: Papastathopoulos, Ioannis, et al.
Published: (2023)

Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)

Application of generalized linear models in big data: a divide and recombine (D&R) approach
by: Nayem, Md. Mahadi Hassan, et al.
Published: (2024)

Minimizing robust density power-based divergences for general parametric density models
by: Okuno, Akifumi
Published: (2023)

A non-parametric approach for estimating the correlation between log-rank test statistics with applications to a conjunctive power calculation
by: Soerensen, Anne Lyngholm, et al.
Published: (2026)

Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2022)

Parameter identification in linear non-Gaussian causal models under general confounding
by: Tramontano, Daniele, et al.
Published: (2024)

Necessary and sufficient conditions for posterior propriety for generalized linear mixed models
by: Rao, Yalin, et al.
Published: (2023)

Bayesian estimation for novel geometric INGARCH model
by: Andrews, Divya Kuttenchalil, et al.
Published: (2024)

Composite likelihood inference for the Poisson log-normal model
by: Stoehr, Julien, et al.
Published: (2024)

High-dimensional log contrast models with measurement errors
by: Tan, Wenxi, et al.
Published: (2024)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
by: Baumann, Mary Ryan, et al.
Published: (2025)

surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests
by: Padgett, R. Noah, et al.
Published: (2024)

Sparse optimization for estimating the cross-power spectrum in linear inverse models : from theory to the application in brain connectivity
by: Carini, Laura, et al.
Published: (2024)

Resolving power: A general approach to compare the distinguishing ability of threshold-free evaluation metrics
by: Beam, Colin S.
Published: (2023)

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)