Cover Image

Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deliu, Nina, Falorsi, Piero Demetrio, Falorsi, Stefano, Chianella, Diego, Alleva, Giorgio
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Implementing Response-Adaptive Randomisation in Stratified Rare-disease Trials: Design Challenges and Practical Solutions
by: Das, Rajenki, et al.
Published: (2024)

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
by: Deliu, Nina, et al.
Published: (2022)

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
by: Riley, Abi I., et al.
Published: (2025)

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)

Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
by: Womack, Andrew J., et al.
Published: (2023)

Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
by: Nigri, Andrea, et al.
Published: (2026)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes
by: Tian, Ye, et al.
Published: (2023)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)

Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
by: Bobb, Jennifer F., et al.
Published: (2026)

Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe
by: Baiamonte, Giorgio, et al.
Published: (2024)

Statistics of Extremes for Neuroscience
by: Redondo, Paolo V., et al.
Published: (2024)

Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)

On Assessing Overall Survival (OS) in Oncology Studies
by: Hsu, Jason C.
Published: (2025)

Statistics of extremes for natural hazards: landslides and earthquakes
by: Yadav, Rishikesh, et al.
Published: (2024)

Estimating the optimal time to perform a PET-PSMA exam in prostatectomized patients based on data from clinical practice
by: Amongero, Martina, et al.
Published: (2023)

Balancing Accuracy and Costs in Cross-Temporal Hierarchies: Investigating Decision-Based and Validation-Based Reconciliation
by: Abolghasemi, Mahdi, et al.
Published: (2024)

Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)

Flexible Approach for Statistical Disclosure Control in Geospatial Data
by: Skøien, Jon Olav, et al.
Published: (2024)

DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Sechidis, Konstantinos, et al.
Published: (2025)

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

Skewed Pivot-Blend Modeling with Applications to Semicontinuous Outcomes
by: She, Yiyuan, et al.
Published: (2024)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
by: Blackwell, Matthew, et al.
Published: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

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

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)

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

Covariate Adjustment for the Win Odds: Application to Cardiovascular Outcomes Trials
by: Scheidegger, Cyrill, et al.
Published: (2025)

Index Date Imputation For Survival Outcomes for Externally Controlled Trials
by: Coent, Q. Le, et al.
Published: (2025)

Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)

The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
by: Wadekar, Adway S., et al.
Published: (2023)

Assessing Heterogeneity of Treatment Effects
by: Kaji, Tetsuya, et al.
Published: (2023)