Image de couverture de livre

An Exposure Model Framework for Signal Detection based on Electronic Healthcare Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dijkstra, Louis, Schink, Tania, Foraita, Ronja
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inferring High-Dimensional Dynamic Networks Changing with Multiple Covariates
par: Dijkstra, Louis, et autres
Publié: (2024)

An Alternating Direction Method of Multipliers Algorithm for the Weighted Fused LASSO Signal Approximator
par: Dijkstra, Louis, et autres
Publié: (2024)

Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
par: Bang, Christine W, et autres
Publié: (2024)

Undersmoothed LASSO Models for Propensity Score Weighting and Synthetic Negative Control Exposures for Bias Detection
par: Wyss, Richard, et autres
Publié: (2025)

Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data
par: Tan, Yihao, et autres
Publié: (2025)

Signal Detection under Composite Hypotheses with Identical Distributions for Signals and for Noises
par: Xing, Yiming, et autres
Publié: (2025)

Estimation of Contextual Exposure to HIV from GPS Data
par: Wu, Haoyang, et autres
Publié: (2025)

The Flexible Accumulation Model for High Density Temporal Exposures
par: Zhou, Xinkai, et autres
Publié: (2025)

A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
par: Pan, Tianyi, et autres
Publié: (2026)

Model Selection for Causal Modeling in Missing Exposure Problems
par: Shi, Yuliang, et autres
Publié: (2024)

Active Sequential Signal Detection with Asynchronous Decisions
par: Xing, Yiming, et autres
Publié: (2026)

A New Cure Rate Model with Discrete and Multiple Exposures
par: Pal, Suvra
Publié: (2024)

Graph-based Change Point Detection for Functional Data
par: VanderDoes, Jeremy, et autres
Publié: (2025)

Bayesian Node-Level Outlier Detection for Graph Signals
par: Kim, Seongmin, et autres
Publié: (2026)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
par: Huang, Xin-Wei, et autres
Publié: (2025)

Estimate Time-Varying Exposure Effects via Ensemble Learning-based Marginal Structural Model with Application to Adolescent Cognitive Development Study
par: Zhao, Zhiwei, et autres
Publié: (2025)

Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
par: Zorzetto, Dafne, et autres
Publié: (2026)

A Unified Framework for Community Detection and Model Selection in Blockmodels
par: Bhadra, Subhankar, et autres
Publié: (2025)

Kernel-based Method for Detecting Structural Break in Distribution of Functional Data
par: Sang, Peijun, et autres
Publié: (2025)

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
par: Danka, Martin N., et autres
Publié: (2026)

A Multivariate Copula-based Bayesian Framework for Doping Detection
par: Deliu, Nina, et autres
Publié: (2024)

Minimax Signal Detection in Sparse Additive Models
par: Kotekal, Subhodh, et autres
Publié: (2023)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
par: Tang, Wenze, et autres
Publié: (2023)

Borrowing Strength Across Exposures and Outcomes via Index Models for Multi-pollutant Mixtures
par: McGee, Glen, et autres
Publié: (2025)

Fast Signal Region Detection with Application to Whole Genome Association Studies
par: Zhang, Wei, et autres
Publié: (2023)

A Hierarchical Bayesian Framework for Model-based Prognostics
par: Jia, Xinyu, et autres
Publié: (2026)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
par: Trangucci, Rob, et autres
Publié: (2024)

Causal Inference with Missing Exposures and Missing Outcomes
par: Landsiedel, Kirsten E., et autres
Publié: (2025)

Intrinsic Geometry-Based Angular Covariance: A Novel Framework for Nonparametric Changepoint Detection in Meteorological Data
par: Biswas, Surojit, et autres
Publié: (2024)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
par: Benz, Luke, et autres
Publié: (2025)

Improving Survival Models in Healthcare by Balancing Imbalanced Cohorts: A Novel Approach
par: Ning, Catherine, et autres
Publié: (2025)

Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
par: Schröder, Maresa, et autres
Publié: (2026)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
par: Comess, Saskia, et autres
Publié: (2025)

Causal Inference on Missing Exposure via Robust Estimation
par: Shi, Yuliang, et autres
Publié: (2024)

Bridging Binarization: Causal Inference with Dichotomized Continuous Exposures
par: Lee, Kaitlyn J., et autres
Publié: (2024)

Estimating Average Causal Effects with Incomplete Exposure and Confounders
par: Wen, Lan, et autres
Publié: (2025)

On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
par: Gao, Chao, et autres
Publié: (2026)

Semiparametric Regression Models for Explanatory Variables with Missing Data due to Detection Limit
par: Zhang, Jasen, et autres
Publié: (2025)

Exposure effects are not automatically useful for policymaking
par: Auerbach, Eric, et autres
Publié: (2024)

U-DESPE: a Bayesian Utility-based methodology for dosing regimen optimization in early-phase oncology trials based on Dose-Exposure, Safety, Pharmacodynamics, Efficacy
par: Andrillon, Anaïs, et autres
Publié: (2025)