:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cahoon, Joyce, Martin, Ryan
Format:	Preprint
Published:	2019
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/1910.00533
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Possibilistic inferential models: a review
by: Martin, Ryan
Published: (2025)

Computationally efficient variational-like approximations of possibilistic inferential models
by: Cella, Leonardo, et al.
Published: (2024)

No-prior Bayes reIMagined: probabilistic approximations of inferential models
by: Martin, Ryan
Published: (2025)

Large-sample theory for inferential models: a possibilistic Bernstein--von Mises theorem
by: Martin, Ryan, et al.
Published: (2024)

Utilizing subgroup information in random-effects meta-analysis of few studies
by: Huang, Ao, et al.
Published: (2025)

A new block covariance regression model and inferential framework for massively large neuroimaging data
by: Kim, Hyoshin, et al.
Published: (2025)

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

Constructing confidence intervals for constrained parameters via valid prior-free inferential models
by: Lu, Hezhi, et al.
Published: (2026)

Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test
by: Girardi, Paolo, et al.
Published: (2022)

Quantifying inconsistency in one-stage individual participant data meta-analyses of treatment-covariate interactions: a simulation study
by: McGuinness, Myra B., et al.
Published: (2025)

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

Sensitivity of MCMC-based analyses to small-data removal
by: Nguyen, Tin D., et al.
Published: (2024)

Influence analyses of "designs" for evaluating inconsistency in network meta-analysis
by: Sasaki, Kotaro, et al.
Published: (2024)

A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles
by: De Livera, Alysha M, et al.
Published: (2024)

CausalMetaR: An R package for performing causally interpretable meta-analyses
by: Wang, Guanbo, et al.
Published: (2024)

Futility analyses for the MCP-Mod methodology based on longitudinal models
by: Bornkamp, Björn, et al.
Published: (2024)

Regularized e-processes: anytime valid inference with knowledge-based efficiency gains
by: Martin, Ryan
Published: (2024)

Generalized Universal Inference on Risk Minimizers
by: Dey, Neil, et al.
Published: (2024)

Multiple Testing in Generalized Universal Inference
by: Dey, Neil, et al.
Published: (2024)

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

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

Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)

Subgroup comparisons within and across studies in meta-analysis
by: Panaro, Renato, et al.
Published: (2025)

Statistical few-shot learning for large-scale classification via parameter pooling
by: Simpson, Andrew, et al.
Published: (2025)

Bayesian unanchored additive models for component network meta-analysis
by: Wigle, Augustine, et al.
Published: (2025)

metamedian: An R package for meta-analyzing studies reporting medians
by: McGrath, Sean, et al.
Published: (2023)

An efficient Monte Carlo method for valid prior-free possibilistic statistical inference
by: Martin, Ryan
Published: (2025)

Visualizing periodic stability in studies: the moving average meta-analysis (MA2)
by: Pateras, Konstantinos, et al.
Published: (2023)

Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
by: Hartung, Niklas, et al.
Published: (2020)

Learning study similarity to investigate heterogeneity in meta-analysis using LLMs and triplet loss
by: Panagiotopoulou, Kanella, et al.
Published: (2026)

On the estimation of inclusion probabilities for weighted analyses of nested case control studies
by: López-Nieto-Veitch, Tomeu, et al.
Published: (2026)

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

Decision-making with possibilistic inferential models
by: Martin, Ryan, et al.
Published: (2021)

Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
by: Hu, Taojun, et al.
Published: (2024)

Methods of multi-indication meta-analysis for health technology assessment: a simulation study
by: Glynn, David, et al.
Published: (2025)

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

How accurate are Bayes factor-based null hypothesis tests? A simulation study
by: Schad, Daniel J., et al.
Published: (2024)

A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions
by: Dixit, Vaidehi, et al.
Published: (2022)

Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)

1-truncated C-vine copula mixed models for network meta-analysis of multiple diagnostic tests
by: Nikoloulopoulos, Aristidis K.
Published: (2026)