Copertina

Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dey, Monitirtha, Banerjee, Trambak, Bhuyan, Prajamitra, Majumdar, Arunabha
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Partial Conjunction Analysis in Neuroimaging: A Comparative Study
di: Dey, Monitirtha, et al.
Pubblicazione: (2025)

Asymptotics in Multiple Hypotheses Testing under Dependence: beyond Normality
di: Dey, Monitirtha
Pubblicazione: (2024)

BLOC: A Global Optimization Framework for Sparse Covariance Estimation with Non-Convex Penalties
di: Das, Priyam, et al.
Pubblicazione: (2026)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
di: Bhuyan, Prajamitra, et al.
Pubblicazione: (2026)

Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity
di: Gang, Bowen, et al.
Pubblicazione: (2023)

An Asymptotically Exact Multiple Testing Procedure under Dependence
di: Datta, Swarnadeep, et al.
Pubblicazione: (2025)

Some Asymptotic Results on Multiple Testing under Weak Dependence
di: Datta, Swarnadeep, et al.
Pubblicazione: (2026)

Detecting Where Effects Occur by Testing Hypotheses in Order
di: Bowers, Jake, et al.
Pubblicazione: (2026)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
di: Dey, Monitirtha, et al.
Pubblicazione: (2023)

The Difference Between "Replicable" and "Not replicable" is not Itself Scientifically Replicable
di: Devezer, Berna, et al.
Pubblicazione: (2026)

Graph-constrained Analysis for Multivariate Functional Data
di: Dey, Debangan, et al.
Pubblicazione: (2022)

Replicable Bandits for Digital Health Interventions
di: Zhang, Kelly W., et al.
Pubblicazione: (2024)

Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses
di: Bhaduri, Ritwik, et al.
Pubblicazione: (2024)

Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
di: Yu, Baichen, et al.
Pubblicazione: (2026)

Bayesian Testing Of Granger Causality In Functional Time Series
di: Sen, Rituparna, et al.
Pubblicazione: (2021)

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
di: Zhuang, Zian, et al.
Pubblicazione: (2025)

On Assessing Overall Survival (OS) in Oncology Studies
di: Hsu, Jason C.
Pubblicazione: (2025)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
di: Yuan, Shijie, et al.
Pubblicazione: (2025)

A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
di: Yu, Xiufan, et al.
Pubblicazione: (2024)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
di: DeMonte, Justin B., et al.
Pubblicazione: (2024)

Partial frontiers are not quantiles
di: Dai, Sheng, et al.
Pubblicazione: (2022)

Beyond the ACE Score: Replicable Combinations of Adverse Childhood Experiences That Worsen Depression Risk
di: Zhang, Ruizhe, et al.
Pubblicazione: (2025)

Local False Sign Rate and the Role of Prior Covariance Rank in Multivariate Empirical Bayes Multiple Testing
di: Xie, Dongyue
Pubblicazione: (2025)

Some Results on Generalized Familywise Error Rate Controlling Procedures under Dependence
di: Dey, Monitirtha, et al.
Pubblicazione: (2025)

Power Estimation for Longitudinal Studies with Time Dependent Covariates Using Generalized Method of Moments
di: Ramezani, Niloofar, et al.
Pubblicazione: (2026)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
di: Pan, Soumyakanti, et al.
Pubblicazione: (2025)

Detecting Spatial Health Disparities Using Disease Maps
di: Aiello, Luca, et al.
Pubblicazione: (2023)

Aggregating Dependent Signals with Heavy-Tailed Combination Tests
di: Gui, Lin, et al.
Pubblicazione: (2023)

Pseudo P-values for Assessing Covariate Balance in a Finite Study Population with Application to the California Sugar Sweetened Beverage Tax Study
di: Han, Bing, et al.
Pubblicazione: (2024)

Assessing the Impact of Covariate Distribution and Positivity Violation on Weighting-Based Indirect Comparisons: a Simulation Study
di: Serret-Larmande, Arnaud, et al.
Pubblicazione: (2025)

Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
di: von Davier, Matthias
Pubblicazione: (2026)

Bayesian Design and Analysis of Precision Trials with Partial Borrowing
di: Golchi, Shirin, et al.
Pubblicazione: (2026)

Directional Dependence of Extreme Events
di: Garcin, Matthieu, et al.
Pubblicazione: (2026)

Nonparametric Monitoring of Spatial Dependence
di: Adämmer, Philipp, et al.
Pubblicazione: (2024)

Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay
di: Cattaneo, Matias D., et al.
Pubblicazione: (2024)

Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
di: Sepulveda-Peñaloza, Alejandro, et al.
Pubblicazione: (2025)

Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
di: Chen, Zhe, et al.
Pubblicazione: (2024)

Do financial regulators act in the public's interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises
di: Sharma, Padma, et al.
Pubblicazione: (2022)

Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
di: Pinkney, Carla, et al.
Pubblicazione: (2025)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
di: Datta, Jyotishka, et al.
Pubblicazione: (2023)