Copertina

Partial Conjunction Analysis in Neuroimaging: A Comparative Study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dey, Monitirtha, Vesely, Anna, Dickhaus, Thorsten
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

Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies
di: Dey, Monitirtha, et al.
Pubblicazione: (2025)

Utilizing Multiple Testing for Grouping in Singular Spectrum Analysis
di: Movahedifar, Maryam, et al.
Pubblicazione: (2024)

Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces
di: Ackerman, Andrew, et al.
Pubblicazione: (2024)

Multiple Imputation Method for High-Dimensional Neuroimaging Data
di: Lu, Tong, et al.
Pubblicazione: (2023)

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
di: Si, Yajuan, et al.
Pubblicazione: (2022)

Rescaled Bayes factors: a class of e-variables
di: Dickhaus, Thorsten
Pubblicazione: (2024)

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

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

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

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
di: Dey, Pritam, et al.
Pubblicazione: (2026)

A Comparative Study of Imputation Methods for Multivariate Ordinal Data
di: Wongkamthong, Chayut, et al.
Pubblicazione: (2020)

Statistical Opportunities in Neuroimaging
di: Kang, Jian, et al.
Pubblicazione: (2026)

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

Estimation of the complexity of a network under a Gaussian graphical model
di: Das, Nabaneet, et al.
Pubblicazione: (2026)

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

Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
di: González-Barquero, Pilar, 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)

Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study
di: Katz, Harrison, et al.
Pubblicazione: (2025)

Multi-Dimensional Composite Endpoint Analysis via the Choquet Integral: Block Recurrent Encoding and Comparative Advantage Mapping
di: Tanboga, Ibrahim Halil
Pubblicazione: (2026)

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

Partial membership models for soft clustering of multivariate football player performance data
di: Seri, Emiliano, et al.
Pubblicazione: (2024)

Estimating Fold Changes from Partially Observed Outcomes with Applications in Microbial Metagenomics
di: Clausen, David S, et al.
Pubblicazione: (2024)

New Pilot-Study Design in Functional Data Analysis
di: Huang, Ping-Han, et al.
Pubblicazione: (2025)

Sensitivity Analysis for Attributable Effects in Case$^2$ Studies
di: Chen, Kan, et al.
Pubblicazione: (2024)

Cost-Effectiveness Analysis for Disease Prevention -- A Case Study on Colorectal Cancer Screening
di: Xiong, Yi, et al.
Pubblicazione: (2024)

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
di: Bargagli-Stoffi, Falco J., et al.
Pubblicazione: (2025)

Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
di: Zhu, Yu, et al.
Pubblicazione: (2024)

A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
di: Shi, Yidan, et al.
Pubblicazione: (2024)

Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
di: Wu, Dongxiao, et al.
Pubblicazione: (2023)

A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
di: Neher, Aidan, et al.
Pubblicazione: (2025)

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

A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications
di: Zhu, Jianan, et al.
Pubblicazione: (2025)

Causal Graph Recovery in Neuroimaging through Answer Set Programming
di: Abavisani, Mohammadsajad, et al.
Pubblicazione: (2025)

Sensitivity Analysis for Clustered Observational Studies with an Application to the Effectiveness of Magnet Nursing Hospitals
di: Huang, Melody, et al.
Pubblicazione: (2025)

Clustering Approaches for Mixed-Type Data: A Comparative Study
di: Ghattas, Badih, et al.
Pubblicazione: (2025)

Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
di: Matabuena, Marcos, et al.
Pubblicazione: (2023)

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
di: Bonnet, Anna, et al.
Pubblicazione: (2025)

Comparing estimators of discriminative performance of time-to-event models
di: Jin, Ying, et al.
Pubblicazione: (2024)

Comparing causal parameters with many treatments and positivity violations
di: McClean, Alec, et al.
Pubblicazione: (2024)