Cover Image

A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Roger S Zoh, Yuanyuan Luan, Lan Xue, David B Allison, Carmen D Tekwe
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
by: Yuanyuan Luan, et al.
Published: (2026)

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
by: Chen, Xiwei, et al.
Published: (2024)

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)

Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
by: Chen, Xiwei, et al.
Published: (2025)

Clustering of functional data prone to complex heteroscedastic measurement error
by: Mai, Andi, et al.
Published: (2025)

Addressing zero-inflated and mis-measured functional predictors in scalar-on-function regression model
by: Ji, Heyang, et al.
Published: (2025)

Clustering functional data with measurement errors: a simulation-based approach
by: Zhu, Tingyu, et al.
Published: (2024)

Optimal subsampling for semi‐parametric accelerated failure time models with massive survival data using a rank‐based approach
by: Zehan Yang, et al.
Published: (2024)

Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion
by: John D. Rice, et al.
Published: (2024)

Optimal model averaging for partially linear models with missing response variables and error‐prone covariates
by: Zhongqi Liang, et al.
Published: (2024)

Confidence sets for a level set in linear regression
by: Fang Wan, et al.
Published: (2024)

Time‐Varying Bayesian Network Meta‐Analysis
by: Patrick M. LeBlanc, et al.
Published: (2025)

Modeling multiple‐criterion diagnoses by heterogeneous‐instance logistic regression
by: Chun‐Hao Yang, et al.
Published: (2024)

Spatial function-on-function regression
by: Beyaztas, Ufuk, et al.
Published: (2024)

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction
by: Mariella Gregorich, et al.
Published: (2024)

Scaled average bioequivalence methods for highly variable drugs: Leveling‐off soft limits and the EMA's 2010 guideline (some ways to improve its type I error control)
by: Joel Muñoz, et al.
Published: (2024)

Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach
by: Tianyi Sun, et al.
Published: (2024)

τ$$ \tau $$‐Inflated beta regression model for censored recurrent events
by: Yizhuo Wang, et al.
Published: (2024)

Penalized weighted smoothed quantile regression for high‐dimensional longitudinal data
by: Yanan Song, et al.
Published: (2024)

A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method
by: Madeline R. Abbott, et al.
Published: (2024)

Weighting estimation in the cause‐specific Cox regression with partially missing causes of failure
by: Jooyoung Lee, et al.
Published: (2024)

A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data
by: Zayd Omar, et al.
Published: (2024)

REDOMA: Bayesian random‐effects dose‐optimization meta‐analysis using spike‐and‐slab priors
by: Cheng‐Han Yang, et al.
Published: (2024)

A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system
by: Keisuke Tada, et al.
Published: (2024)

Bayesian Additive Regression Trees for Group Testing Data
by: Madeleine E. St. Ville, et al.
Published: (2025)

Path‐specific causal decomposition analysis with multiple correlated mediator variables
by: Melissa J. Smith, et al.
Published: (2024)

Bayesian survival analysis with INLA
by: Danilo Alvares, et al.
Published: (2024)

Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model
by: Joseph Boyle, et al.
Published: (2024)

A Bayesian Location‐Scale Joint Model for Time‐To‐Event and Multivariate Longitudinal Data With Association Based on Within‐Individual Variability
by: Marco Palma, et al.
Published: (2026)

BAR12 : Bayesian Autoregressive Phase 1‐2 Design for Cell Therapy Trials With Manufacturing Changes
by: Cheng‐Han Yang, et al.
Published: (2026)

Bayesian mixture modelling with ranked set samples
by: Amirhossein Alvandi, et al.
Published: (2024)

Bayesian Adaptive Enrichment Design for Continuous Biomarkers
by: Yue Tu, et al.
Published: (2025)

Tutorial on Bayesian Functional Regression Using Stan
by: Ziren Jiang, et al.
Published: (2025)

Using a monotonic density ratio model to increase the power of the goodness‐of‐fit test for logistic regression models with case‐control data
by: Chunlin Wang, et al.
Published: (2024)

Utilizing local likelihood in regression discontinuity design: Investigating the impact of antiretroviral therapy eligibility on retention in clinical HIV care in South Africa
by: Jaehyun Seo, et al.
Published: (2024)

Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
by: Yuanyuan Guo, et al.
Published: (2025)

Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
by: Yu‐Han Chiu, et al.
Published: (2025)

Improved mortality analysis in early‐phase dose‐ranging clinical trials for emergency medical diseases using Bayesian time‐to‐event models with active comparators
by: Xiaosong Shi, et al.
Published: (2024)

A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
by: Joanne Kim, et al.
Published: (2024)

A Bayesian Approach for Robust Longitudinal Envelope Models
by: Peng Zeng, et al.
Published: (2026)