Imagen de Portada

Path‐specific causal decomposition analysis with multiple correlated mediator variables

Fuente: Wiley Open Access

Guardado en:

Detalles Bibliográficos
Autores principales:	Melissa J. Smith, Leslie A. McClure, D. Leann Long
Formato:	Artículo Open Access
Publicado:	Wiley 2024
Materias:	Statistics in Medicine
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Path-specific causal decomposition analysis with multiple correlated mediator variables
por: Smith, Melissa J., et al.
Publicado: (2023)

Robust inference for causal mediation analysis of recurrent event data
por: Yan‐Lin Chen, et al.
Publicado: (2024)

Comparison of methods for mediation analysis with multiple correlated mediators
por: Appah, Mary, et al.
Publicado: (2024)

Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
por: Trang Quynh Nguyen, et al.
Publicado: (2024)

Identification and estimation of causal effects in the presence of confounded principal strata
por: Shanshan Luo, et al.
Publicado: (2024)

Modeling correlated pairs of mammogram images
por: Shu Jiang, et al.
Publicado: (2024)

Dynamic path analysis for exploring treatment effect mediation processes in clinical trials with time‐to‐event endpoints
por: Matthias Kormaksson, et al.
Publicado: (2024)

Survival causal rule ensemble method considering the main effect for estimating heterogeneous treatment effects
por: Ke Wan, et al.
Publicado: (2024)

Modeling intra‐individual inter‐trial EEG response variability in autism
por: Mingfei Dong, et al.
Publicado: (2024)

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

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

Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects
por: Carly Lupton Brantner, et al.
Publicado: (2024)

A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables
por: Roger S Zoh, et al.
Publicado: (2024)

Separable and controlled direct effects for competing events: Estimation of component specific effects on sickness absence
por: Niklas N. Maltzahn, et al.
Publicado: (2024)

Finding the best subgroup with differential treatment effect with multiple outcomes
por: Beibo Zhao, et al.
Publicado: (2024)

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

An information‐theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: Application to vaccine evaluation
por: Ariel Alonso Abad, et al.
Publicado: (2024)

Nonparametric Path‐Specific Effects on a Survival Outcome Through Multiple Time‐to‐Event Mediators
por: Yen‐Tsung Huang, et al.
Publicado: (2025)

Generalized single index modeling of longitudinal data with multiple binary responses
por: Zibo Tian, et al.
Publicado: (2024)

Variance‐components tests for genetic association with multiple interval‐censored outcomes
por: Jaihee Choi, et al.
Publicado: (2024)

Sample Size Estimation for Correlated Count Data With Changes in Dispersion
por: Jintong Hou, et al.
Publicado: (2025)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
por: Lucy D'Agostino McGowan
Publicado: (2026)

Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities
por: Zhiyuan Du, et al.
Publicado: (2024)

A sequential, multiple assignment, randomized trial design with a tailoring function
por: Holly Hartman, et al.
Publicado: (2024)

A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials
por: Yu Du, et al.
Publicado: (2024)

Output Measures: Myths, Realities, and Prospects.
por: McClure, Charles, et al.
Publicado: (1986)

The spike‐and‐slab quantile LASSO for robust variable selection in cancer genomics studies
por: Yuwen Liu, et al.
Publicado: (2024)

Multiple imputation strategies for missing event times in a multi‐state model analysis
por: Elinor Curnow, et al.
Publicado: (2024)

Design and sample size determination for multiple‐dose randomized phase II trials for dose optimization
por: Peng Yang, et al.
Publicado: (2024)

Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
por: Melody A. Owen, et al.
Publicado: (2025)

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

Mediation analysis using incomplete information from publicly available data sources
por: Andriy Derkach, et al.
Publicado: (2024)

Simultaneous variable selection and estimation for survival data via the Gaussian seamless‐L0$$ {L}_0 $$ penalty
por: Zili Liu, et al.
Publicado: (2024)

Robust inference methods for meta‐analysis involving influential outlying studies
por: Hisashi Noma, et al.
Publicado: (2024)

Combining Straight‐Line and Map‐Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease
por: Sarah C. Lotspeich, et al.
Publicado: (2025)

Performance of Cross‐Validated Targeted Maximum Likelihood Estimation
por: Matthew J. Smith, et al.
Publicado: (2025)

Improved Centile Estimation by Transformation And/Or Adaptive Smoothing of the Explanatory Variable
por: R. A. Rigby, et al.
Publicado: (2026)

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

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

Bayesian survival analysis with INLA
por: Danilo Alvares, et al.
Publicado: (2024)