Copas-Jackson-type bounds for publication bias over a general class of selection models
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Taojun, Zhou, Yi, Zhou, Xiao-Hua, Hattori, Satoshi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
by: Zhou, Yi, et al.
Published: (2024)
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
by: Hu, Taojun, et al.
Published: (2024)
by: Hu, Taojun, 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)
by: Zhou, Yi, et al.
Published: (2024)
A likelihood-based sensitivity analysis for addressing publication bias in meta-analysis of diagnostic studies using exact likelihood
by: Hu, Taojun, et al.
Published: (2024)
by: Hu, Taojun, et al.
Published: (2024)
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)
by: Li, Mengke, 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)
by: Huang, Ao, et al.
Published: (2024)
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)
by: Yi Zhou, et al.
Published: (2026)
Event-driven type design for clinical trials with recurrent events
by: Zhang, Jingwen, et al.
Published: (2026)
by: Zhang, Jingwen, et al.
Published: (2026)
Semiparametric Piecewise Accelerated Failure Time Model for the Analysis of Immune-Oncology Clinical Trials
by: Sunami, Hisato, et al.
Published: (2024)
by: Sunami, Hisato, et al.
Published: (2024)
Data-Adaptive Integration With Summary Data
by: Morikawa, Kosuke, et al.
Published: (2025)
by: Morikawa, Kosuke, et al.
Published: (2025)
A Unified Inference Method for FROC-type Curves and Related Summary Indices
by: Sun, Jiarui, et al.
Published: (2025)
by: Sun, Jiarui, et al.
Published: (2025)
Separable pathway effects of semi-competing risks using multi-state models
by: Deng, Yuhao, et al.
Published: (2023)
by: Deng, Yuhao, et al.
Published: (2023)
Biomarkers selection and combination based on the weighted Youden index
by: Sun, Ao, et al.
Published: (2025)
by: Sun, Ao, et al.
Published: (2025)
Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)
by: Maeda, Hirotada, et al.
Published: (2026)
Direct and Indirect Treatment Effects in the Presence of Semi-Competing Risks
by: Deng, Yuhao, et al.
Published: (2023)
by: Deng, Yuhao, et al.
Published: (2023)
Comment on "Average Hazard as Harmonic Mean" by Chiba
by: Uno, Hajime, et al.
Published: (2025)
by: Uno, Hajime, et al.
Published: (2025)
Bayesian nonparametric modeling of mixed-type bounded data
by: Liu, Rufeng, et al.
Published: (2025)
by: Liu, Rufeng, et al.
Published: (2025)
Addressing selection bias in cluster randomized experiments via weighting
by: Papadogeorgou, Georgia, et al.
Published: (2023)
by: Papadogeorgou, Georgia, et al.
Published: (2023)
Constructing g-computation estimators: two case studies in selection bias
by: Zivich, Paul N, et al.
Published: (2025)
by: Zivich, Paul N, et al.
Published: (2025)
Graphical tools for detection and control of selection bias with multiple exposures and samples
by: Schnell, Patrick M., et al.
Published: (2024)
by: Schnell, Patrick M., et al.
Published: (2024)
A general condition for bias attenuation by a nondifferentially mismeasured confounder
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)
by: Miao, Ruoyu, et al.
Published: (2025)
Post-selection inference in generalized linear models via parametric programming
by: Shen, Qinyan, et al.
Published: (2026)
by: Shen, Qinyan, et al.
Published: (2026)
Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions
by: Hu, Taojun, et al.
Published: (2024)
by: Hu, Taojun, et al.
Published: (2024)
Efficient estimation and correction of selection-induced bias with order statistics
by: McLatchie, Yann, et al.
Published: (2023)
by: McLatchie, Yann, et al.
Published: (2023)
Distributionally enhanced marginal sensitivity model and bounds
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Identifying average causal effect in regression discontinuity design with auxiliary data
by: Feng, Xinqin, et al.
Published: (2024)
by: Feng, Xinqin, et al.
Published: (2024)
Unified optimal model averaging with a general loss function based on cross-validation
by: Yu, Dalei, et al.
Published: (2024)
by: Yu, Dalei, et al.
Published: (2024)
Inference for Cumulative Incidences and Treatment Effects in Randomized Controlled Trials with Time-to-Event Outcomes under ICH E9 (R1)
by: Deng, Yuhao, et al.
Published: (2024)
by: Deng, Yuhao, et al.
Published: (2024)
Model-based causal feature selection for general response types
by: Kook, Lucas, et al.
Published: (2023)
by: Kook, Lucas, et al.
Published: (2023)
Hypothesis testing for general network models
by: Fu, Kang, et al.
Published: (2024)
by: Fu, Kang, et al.
Published: (2024)
Biomarker combination based on the Youden index with and without gold standard
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
Model selection-based estimation for generalized additive models using mixtures of g-priors: Towards systematization
by: Kang, Gyeonghun, et al.
Published: (2023)
by: Kang, Gyeonghun, et al.
Published: (2023)
A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)
by: Wang, Guanbo, et al.
Published: (2021)
Nonparametric functional data classification and bandwidth selection in the presence of MNAR class variables
by: Mojirsheibani, Majid
Published: (2025)
by: Mojirsheibani, Majid
Published: (2025)
Reweighting the RCT for generalization: finite sample error and variable selection
by: Colnet, Bénédicte, et al.
Published: (2022)
by: Colnet, Bénédicte, et al.
Published: (2022)
Two-Stage Least Squares Instrumental Variable Estimation for Semiparametric Accelerated Failure Time Models with Right-Censored Data
by: Zhuang, Zian, et al.
Published: (2025)
by: Zhuang, Zian, 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)
A unified generalization of inverse regression via adaptive column selection
by: Jin, Yin, et al.
Published: (2024)
by: Jin, Yin, 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)
Similar Items
-
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) -
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
by: Hu, Taojun, 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) -
A likelihood-based sensitivity analysis for addressing publication bias in meta-analysis of diagnostic studies using exact likelihood
by: Hu, Taojun, et al.
Published: (2024) -
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)