:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Dongliang, Asgharian, Masoud, Lindquist, Martin A.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2401.13208
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detection of Multiple Influential Observations on Model Selection
by: Zhang, Dongliang, et al.
Published: (2024)

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
by: Zhao, Wei, et al.
Published: (2025)

SpARCD: A Spectral Graph Framework for Revealing Differential Functional Connectivity in fMRI Data
by: Yoffe, Shira, et al.
Published: (2026)

The Effect of Choice of Metric and Scan Length on Reliability in Resting-State fMRI
by: Huang, Yu, et al.
Published: (2026)

SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies
by: Zhong, Yuan, et al.
Published: (2025)

A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
by: Wang, Zhengxin, et al.
Published: (2024)

Multilevel testing of constraints induced by structural equation modeling in fMRI effective connectivity analysis: A proof of concept
by: Marrelec, G., et al.
Published: (2024)

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

Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)

Transfer Learning in Regression with Influential Points
by: Wang, Bingbing, et al.
Published: (2025)

Functional Moments Regression
by: Li, Mingyuan, et al.
Published: (2026)

A Non-Gaussian Bayesian Filter Using Power and Generalized Logarithmic Moments
by: Wu, Guangyu, et al.
Published: (2022)

Truncated Multidimensional Trigonometric Moment Problem: A Choice of Bases and the Unique Solution
by: Wu, Guangyu, et al.
Published: (2026)

Testing Most Influential Sets
by: Konrad, Lucas Darius, et al.
Published: (2025)

Assessing Estimate of CATE from Observational Data via an RCT Study
by: Cui, Bosen, et al.
Published: (2026)

Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)

Statistical Opportunities in Neuroimaging
by: Kang, Jian, et al.
Published: (2026)

Pseudo-Observations for Bivariate Survival Data
by: Travis-Lumer, Yael, et al.
Published: (2024)

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

Evaluating Treatment Benefit Predictors using Observational Data: Contending with Identification and Confounding Bias
by: Xia, Yuan, et al.
Published: (2024)

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

Multiple Imputation Diagnostics when using Electronic Health Record Data in Observational Studies: A Case Study
by: Bhavsar, Nrupen A., et al.
Published: (2026)

Online Prediction For Streaming Observational Data
by: Clarke, Bertrand, et al.
Published: (2025)

Assessing Extreme Risk using Stochastic Simulation of Extremes
by: Madhar, Nisrine, et al.
Published: (2024)

Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
by: Gao, Jiacan, et al.
Published: (2026)

Correcting for Nonignorable Nonresponse Bias in Ordinal Observational Survey Data
by: Lafférs, Lukáš, et al.
Published: (2026)

The Illusion of Learning from Observational Data: An Empirical Bayes Perspective
by: Wu, Bohan, et al.
Published: (2026)

Treatment Effect Estimation with Observational Network Data using Machine Learning
by: Emmenegger, Corinne, et al.
Published: (2022)

Assessing the conditional calibration of interval forecasts using decompositions of the interval score
by: Allen, Sam, et al.
Published: (2025)

Mapping Multivariate Phenotypes in the Presence of Missing Observations for Family-Based Data
by: Sahu, Soumya, et al.
Published: (2025)

Valid and Efficient Two-Stage Latent Subgroup Analysis with Observational Data
by: Luo, Yuanhui, et al.
Published: (2025)

Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
by: Malsiner-Walli, Gertraud, et al.
Published: (2024)

The Hardness of Validating Observational Studies with Experimental Data
by: Fawkes, Jake, et al.
Published: (2025)

Assessing Bayes factor surfaces using interactive visualization and computer surrogate modeling
by: Franck, Christopher T., et al.
Published: (2018)

Assessing covariate-adjusted risk differences in small-sample clinical trials
by: Schnuerch, Martin, et al.
Published: (2026)

Bounding Treatment Effects by Pooling Limited Information across Observations
by: Lee, Sokbae, et al.
Published: (2021)

Assessing variable importance in survival analysis using machine learning
by: Wolock, Charles J., et al.
Published: (2023)

Compatibility of Missing Data Handling Methods across the Stages of Producing Clinical Prediction Models
by: Tsvetanova, Antonia, et al.
Published: (2025)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

Incorporating Missing Data Considerations into Sample Size Calculations for Developing Clinical Prediction Models
by: Martin, Glen P., et al.
Published: (2026)