Learning study similarity to investigate heterogeneity in meta-analysis using LLMs and triplet loss
Fuente:
arXiv
Guardado en:
| Autores principales: | Panagiotopoulou, Kanella, Binder, Harald, Evrenoglou, Theodoros |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Meta-analysis models relaxing the random effects normality assumption: methodological systematic review and simulation study
por: Panagiotopoulou, Kanella, et al.
Publicado: (2024)
por: Panagiotopoulou, Kanella, et al.
Publicado: (2024)
Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
por: Sasaki, Kotaro, et al.
Publicado: (2026)
por: Sasaki, Kotaro, et al.
Publicado: (2026)
Producing treatment hierarchies in network meta-analysis using probabilistic models and treatment-choice criteria
por: Evrenoglou, Theodoros, et al.
Publicado: (2024)
por: Evrenoglou, Theodoros, et al.
Publicado: (2024)
An alternative measure for quantifying the heterogeneity in meta-analysis
por: Yang, Ke, et al.
Publicado: (2024)
por: Yang, Ke, et al.
Publicado: (2024)
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
por: Möllenhoff, Kathrin, et al.
Publicado: (2024)
por: Möllenhoff, Kathrin, et al.
Publicado: (2024)
IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
por: Yang, Ke, et al.
Publicado: (2021)
por: Yang, Ke, et al.
Publicado: (2021)
Improving prediction models by incorporating external data with weights based on similarity
por: Behrens, Max, et al.
Publicado: (2024)
por: Behrens, Max, et al.
Publicado: (2024)
Redefining shared information: a heterogeneity-adaptive framework for meta-analysis
por: Davis, Elizabeth M., et al.
Publicado: (2026)
por: Davis, Elizabeth M., et al.
Publicado: (2026)
Testing similarity of competing risks models by comparing transition probabilities
por: Lange, Zoe Kristin, et al.
Publicado: (2025)
por: Lange, Zoe Kristin, et al.
Publicado: (2025)
Investigating the heterogeneity of "study twins"
por: Röver, Christian, et al.
Publicado: (2023)
por: Röver, Christian, et al.
Publicado: (2023)
Causally-interpretable meta-analysis using aggregate data
por: Shi, Qingyang, et al.
Publicado: (2026)
por: Shi, Qingyang, et al.
Publicado: (2026)
Subgroup comparisons within and across studies in meta-analysis
por: Panaro, Renato, et al.
Publicado: (2025)
por: Panaro, Renato, et al.
Publicado: (2025)
Model--based clustering for spherical and hyper--spherical data using elliptically symmetric distributions
por: Perdikis, Theodoros, et al.
Publicado: (2026)
por: Perdikis, Theodoros, et al.
Publicado: (2026)
Utilizing subgroup information in random-effects meta-analysis of few studies
por: Huang, Ao, et al.
Publicado: (2025)
por: Huang, Ao, et al.
Publicado: (2025)
Visualizing periodic stability in studies: the moving average meta-analysis (MA2)
por: Pateras, Konstantinos, et al.
Publicado: (2023)
por: Pateras, Konstantinos, et al.
Publicado: (2023)
A novel decomposition to explain heterogeneity in observational and randomized studies of causality
por: Gilbert, Brian, et al.
Publicado: (2022)
por: Gilbert, Brian, et al.
Publicado: (2022)
A statistical approach to latent dynamic modeling with differential equations
por: Hackenberg, Maren, et al.
Publicado: (2023)
por: Hackenberg, Maren, et al.
Publicado: (2023)
ALL-IN meta-analysis: breathing life into living systematic reviews and prospective meta-analyses
por: ter Schure, Judith, et al.
Publicado: (2021)
por: ter Schure, Judith, et al.
Publicado: (2021)
Methods of multi-indication meta-analysis for health technology assessment: a simulation study
por: Glynn, David, et al.
Publicado: (2025)
por: Glynn, David, et al.
Publicado: (2025)
Distributed inference for heterogeneous mixture models using multi-site data
por: Liu, Xiaokang, et al.
Publicado: (2025)
por: Liu, Xiaokang, et al.
Publicado: (2025)
Interpretable meta-analysis of model or marker performance
por: Steingrimsson, Jon A., et al.
Publicado: (2024)
por: Steingrimsson, Jon A., et al.
Publicado: (2024)
Statistical inference of heterogeneous treatment effects using semiparametric single-index model
por: Yu, Jichang, et al.
Publicado: (2025)
por: Yu, Jichang, et al.
Publicado: (2025)
Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies
por: Hanada, Keisuke, et al.
Publicado: (2025)
por: Hanada, Keisuke, et al.
Publicado: (2025)
Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries
por: Huang, Ao, et al.
Publicado: (2024)
por: Huang, Ao, et al.
Publicado: (2024)
Table inference for combinatorial origin-destination choices in agent-based population synthesis
por: Zachos, Ioannis, et al.
Publicado: (2023)
por: Zachos, Ioannis, et al.
Publicado: (2023)
Generalized inferential models for meta-analyses based on few studies
por: Cahoon, Joyce, et al.
Publicado: (2019)
por: Cahoon, Joyce, et al.
Publicado: (2019)
Treatment heterogeneity with right-censored outcomes using grf
por: Sverdrup, Erik, et al.
Publicado: (2023)
por: Sverdrup, Erik, et al.
Publicado: (2023)
Learning with the Nash-Sutcliffe loss
por: Tyralis, Hristos, et al.
Publicado: (2026)
por: Tyralis, Hristos, et al.
Publicado: (2026)
Creating treatment and component hierarchies in component network meta-analysis
por: Wigle, Augustine, et al.
Publicado: (2026)
por: Wigle, Augustine, et al.
Publicado: (2026)
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
por: Hu, Taojun, et al.
Publicado: (2024)
por: Hu, Taojun, et al.
Publicado: (2024)
A comparison of combined p-value functions for meta-analysis
por: Held, Leonhard, et al.
Publicado: (2024)
por: Held, Leonhard, et al.
Publicado: (2024)
How trace plots help interpret meta-analysis results
por: Röver, Christian, et al.
Publicado: (2023)
por: Röver, Christian, et al.
Publicado: (2023)
Bayesian unanchored additive models for component network meta-analysis
por: Wigle, Augustine, et al.
Publicado: (2025)
por: Wigle, Augustine, et al.
Publicado: (2025)
Geometric standardized mean difference and its application to meta-analysis
por: Shi, Jiandong, et al.
Publicado: (2025)
por: Shi, Jiandong, et al.
Publicado: (2025)
Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases
por: Dellaporta, Charita, et al.
Publicado: (2023)
por: Dellaporta, Charita, et al.
Publicado: (2023)
A test for normality based on self-similarity
por: Anarat, Akin, et al.
Publicado: (2026)
por: Anarat, Akin, et al.
Publicado: (2026)
Conditional Copula models using loss-based Bayesian Additive Regression Trees
por: Basu, Tathagata, et al.
Publicado: (2025)
por: Basu, Tathagata, et al.
Publicado: (2025)
High-dimensional sparse classification using exponential weighting with empirical hinge loss
por: Mai, The Tien
Publicado: (2023)
por: Mai, The Tien
Publicado: (2023)
Bayesian random-effects meta-analysis of aggregate data on clinical events
por: Röver, Christian, et al.
Publicado: (2025)
por: Röver, Christian, et al.
Publicado: (2025)
Integration of aggregated data in causally interpretable meta-analysis by inverse weighting
por: Vo, Tat-Thang, et al.
Publicado: (2025)
por: Vo, Tat-Thang, et al.
Publicado: (2025)
Ejemplares similares
-
Meta-analysis models relaxing the random effects normality assumption: methodological systematic review and simulation study
por: Panagiotopoulou, Kanella, et al.
Publicado: (2024) -
Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
por: Sasaki, Kotaro, et al.
Publicado: (2026) -
Producing treatment hierarchies in network meta-analysis using probabilistic models and treatment-choice criteria
por: Evrenoglou, Theodoros, et al.
Publicado: (2024) -
An alternative measure for quantifying the heterogeneity in meta-analysis
por: Yang, Ke, et al.
Publicado: (2024) -
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
por: Möllenhoff, Kathrin, et al.
Publicado: (2024)