Cover Image

Investigating the heterogeneity of "study twins"

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Röver, Christian, Friede, Tim
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-analytic-predictive priors based on a single study
by: Röver, Christian, et al.
Published: (2025)

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

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

How trace plots help interpret meta-analysis results
by: Röver, Christian, et al.
Published: (2023)

Consistent Bayesian meta-analysis on subgroup specific effects and interactions
by: Panaro, Renato, et al.
Published: (2025)

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

Including historical control data in simultaneous inference for pre-clinical multi-arm studies
by: Menssen, Max, et al.
Published: (2026)

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

Investigating the Heterogeneity of “Study Twins”
by: Christian Röver, et al.
Published: (2024)

Identifying the potential of sample overlap in evidence synthesis of observational studies
by: Zhang, Zhentian, et al.
Published: (2026)

Comparing restricted mean survival times in small sample clinical trials using pseudo-observations
by: Jesse, David, et al.
Published: (2024)

A note on blinded continuous monitoring for continuous outcomes
by: Xu, Long-Hao, et al.
Published: (2025)

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

A two-step approach for analyzing time to event data under non-proportional hazards
by: Brugger, Jonas, et al.
Published: (2024)

In silico clinical trials in drug development: a systematic review
by: Chen, Bohua, et al.
Published: (2025)

Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events
by: Christian Röver, et al.
Published: (2026)

A mixture distribution approach for assessing genetic impact from twin study
by: Hu, Zonghui, et al.
Published: (2025)

A novel decomposition to explain heterogeneity in observational and randomized studies of causality
by: Gilbert, Brian, et al.
Published: (2022)

Functional effects models: Accounting for preference heterogeneity in panel data with machine learning
by: Salvadé, Nicolas, et al.
Published: (2025)

Recanting twins: addressing intermediate confounding in mediation analysis
by: Vo, Tat-Thang, et al.
Published: (2024)

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

Semi-supervised inference for treatment heterogeneity
by: Anniwaer, Yilizhati, et al.
Published: (2025)

Cellwise outlier detection in heterogeneous populations
by: Zaccaria, Giorgia, et al.
Published: (2024)

Community detection in heterogeneous signed networks
by: Wang, Yuwen, et al.
Published: (2025)

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

Variable importance measures for heterogeneous treatment effects
by: Hines, Oliver J., et al.
Published: (2022)

The Fréchet correlation coefficient for heterogeneous random objects
by: He, Shuaida, et al.
Published: (2026)

Fusion of heterogeneous data for robust degradation prognostics
by: Jaber, Edgar, et al.
Published: (2025)

Trustworthy assessment of heterogeneous treatment effect estimator
by: Gao, Zijun
Published: (2024)

Bayesian nonparametric modeling of heterogeneous populations of networks
by: Barile, Francesco, et al.
Published: (2024)

Flexible survival regression with variable selection for heterogeneous population
by: Mandal, Abhishek, et al.
Published: (2024)

IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
by: Yang, Ke, et al.
Published: (2021)

Variable importance measures for heterogeneous treatment effects with survival outcome
by: Ziersen, Simon Christoffer, et al.
Published: (2024)

Data fusion methods for the heterogeneity of treatment effect and confounding function
by: Yang, Shu, et al.
Published: (2020)

State policy heterogeneity analyses: considerations and proposals
by: Rubinstein, Max, et al.
Published: (2026)

Asymmetric Laplace distribution regression model for fitting heterogeneous longitudinal response
by: Barbieri, Antoine, et al.
Published: (2025)

A causal fused lasso for interpretable heterogeneous treatment effects estimation
by: Padilla, Oscar Hernan Madrid, et al.
Published: (2021)

Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
by: Huang, Melody, et al.
Published: (2025)

Distributed inference for heterogeneous mixture models using multi-site data
by: Liu, Xiaokang, et al.
Published: (2025)

Tree-based methods for estimating heterogeneous model performance and model combining
by: Zhang, Ruotao, et al.
Published: (2025)