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Bibliographic Details
Main Authors:	Hu, Taojun, Zhou, Yi, Hattori, Satoshi
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2404.06837
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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)

Copas-Jackson-type bounds for publication bias over a general class of selection models
by: Hu, Taojun, et al.
Published: (2025)

Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries
by: Huang, Ao, et al.
Published: (2024)

Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve
by: Zhou, Yi, et al.
Published: (2024)

Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)

Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
by: Phillippo, David M., et al.
Published: (2024)

Event-driven type design for clinical trials with recurrent events
by: Zhang, Jingwen, et al.
Published: (2026)

Degree irregularity and rank probability bias in network meta-analysis
by: Davies, Annabel L, et al.
Published: (2020)

Semiparametric Piecewise Accelerated Failure Time Model for the Analysis of Immune-Oncology Clinical Trials
by: Sunami, Hisato, et al.
Published: (2024)

Maximum softly penalised likelihood in factor analysis
by: Sterzinger, Philipp, et al.
Published: (2025)

Data-Adaptive Integration With Summary Data
by: Morikawa, Kosuke, et al.
Published: (2025)

The multirank likelihood for semiparametric canonical correlation analysis
by: Bryan, Jordan G., et al.
Published: (2021)

A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)

Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)

Causally-interpretable meta-analysis using aggregate data
by: Shi, Qingyang, et al.
Published: (2026)

Copas‐Heckman‐Type Sensitivity Analysis for Publication Bias in Rare‐Event Meta‐Analysis Under Generalized Linear Mixed Models
by: Yi Zhou, et al.
Published: (2026)

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
by: Liu, Yixuan, et al.
Published: (2023)

Comment on "Average Hazard as Harmonic Mean" by Chiba
by: Uno, Hajime, et al.
Published: (2025)

An exact unbiased semi-parametric L2 quasi-likelihood framework, complete in the presence of ties
by: Hurley, Landon
Published: (2026)

An exact unbiased semi-parametric maximum quasi-likelihood framework which is complete in the presence of ties
by: Hurley, Landon
Published: (2025)

A family of toroidal diffusions with exact likelihood inference
by: García-Portugués, Eduardo, et al.
Published: (2024)

Cellwise robust and sparse principal component analysis
by: Pfeiffer, Pia, et al.
Published: (2024)

Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

A likelihood approach to proper analysis of secondary outcomes in matched case-control studies
by: Liu, Shanshan, et al.
Published: (2026)

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024)

Bayesian random-effects meta-analysis of aggregate data on clinical events
by: Röver, Christian, et al.
Published: (2025)

Integration of aggregated data in causally interpretable meta-analysis by inverse weighting
by: Vo, Tat-Thang, et al.
Published: (2025)

Robust model selection using likelihood as data
by: Choi, Jongwoo, et al.
Published: (2026)

The exact non-Gaussian weak lensing likelihood: A framework to calculate analytic likelihoods for correlation functions on masked Gaussian random fields
by: Oehl, Veronika, et al.
Published: (2024)

Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)

Tree-based methods for length-biased survival data
by: Lee, Jinwoo, et al.
Published: (2025)

An alternative measure for quantifying the heterogeneity in meta-analysis
by: Yang, Ke, et al.
Published: (2024)

Interpretable meta-analysis of model or marker performance
by: Steingrimsson, Jon A., et al.
Published: (2024)

Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data
by: Ségalas, Corentin, et al.
Published: (2024)

Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial
by: Nguyen, Cattram D, et al.
Published: (2025)

A studentized permutation test for the treatment effect in individual participant data meta-analysis
by: Tran, Phuc Thien, et al.
Published: (2025)

Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study
by: Cai, Jiachen, et al.
Published: (2024)

Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
by: Sun, Zhuowei, et al.
Published: (2023)

ALL-IN meta-analysis: breathing life into living systematic reviews and prospective meta-analyses
by: ter Schure, Judith, et al.
Published: (2021)

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