Copertina

Modelling Under-Reported Data: Pitfalls of Naïve Approaches and a New Statistical Framework for Epidemic Curve Reconstruction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Slater, Justin J., Bebeziqi, Sindi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DESA: An R Package for Detecting Epidemics using a School-Absenteeism Surveillance Framework
di: Joshy, Vinay, et al.
Pubblicazione: (2025)

Evaluating COVID-19 Surveillance Testing Strategies at Colorado School of Mines: A Stochastic Modeling Approach
di: Albrecht, Laura, et al.
Pubblicazione: (2024)

Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
di: Osthus, Dave, et al.
Pubblicazione: (2026)

Bayesian Inference for Epidemic Final Size Datasets with Hidden Underlying Household Structure
di: Brooks, Joseph, et al.
Pubblicazione: (2026)

Zombie Epidemic -- on Modeling the Effect of Interventions
di: Ek, Kaisa, et al.
Pubblicazione: (2024)

An Exploration of Modeling Approaches for Capturing Seasonal Transmission in Stochastic Epidemic Models
di: Hridoy, Mahmudul Bari
Pubblicazione: (2024)

Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods
di: Corbella, Alice, et al.
Pubblicazione: (2022)

Investigating the HIV Epidemic in Miami Using a Novel Approach for Bayesian Inference on Partially Observed Networks
di: Goyal, Ravi, et al.
Pubblicazione: (2024)

Starting Off on the Wrong Foot: Pitfalls in Data Preparation
di: Guo, Jiayi, et al.
Pubblicazione: (2026)

A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
di: Tang, Dandan, et al.
Pubblicazione: (2025)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
di: Lin, Zhengzhi, et al.
Pubblicazione: (2025)

A Machine Learning Framework for Constructing Heterogeneous Contact Networks: Implications for Epidemic Modelling
di: Kearney, Luke Murray, et al.
Pubblicazione: (2026)

Causal Inference Using Augmented Epidemic Models
di: Bong, Heejong, et al.
Pubblicazione: (2024)

A New Statistical Approach to Calibration-Free Localization Using Unlabeled Crowdsourced Data
di: Hu, Haozhou, et al.
Pubblicazione: (2025)

Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
di: Aschermayr, Patrick, et al.
Pubblicazione: (2026)

Estimating Time-Varying Epidemic Severity Rates with Adaptive Deconvolution
di: Goldwasser, Jeremy, et al.
Pubblicazione: (2025)

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

Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
di: Bong, Heejong, et al.
Pubblicazione: (2023)

Filling the Gaps: A Multiple Imputation Approach to Estimating Aging Curves in Baseball
di: Nguyen, Quang, et al.
Pubblicazione: (2022)

Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
di: Bao, Han, et al.
Pubblicazione: (2025)

Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
di: Kaptur, Dandan Chen, et al.
Pubblicazione: (2024)

A Review of Statistical Methods for Spontaneous Reporting System Data Mining: Signal Detection and Beyond
di: Tan, Yihao, et al.
Pubblicazione: (2026)

The Evolution of Pesticide Resistance: A Data‐Driven Case Study of Chlorantraniliprole Resistance in Chilo suppressalis and Other Lepidopteran Pests in China
di: Philip G. Madgwick, et al.
Pubblicazione: (2025)

Statistical analysis to assess porosity equivalence with uncertainty across additively manufactured parts for fatigue applications
di: Miner, Justin P., et al.
Pubblicazione: (2024)

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

The Derivation and Reconstruction of the Gamma Variate Function for Tracer Dilution Curves
di: Amartey, Ishmael N., et al.
Pubblicazione: (2024)

Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
di: Kaptur, Dandan Chen, et al.
Pubblicazione: (2024)

Tracking the Spatiotemporal Spread of the Ohio Overdose Epidemic with Topological Data Analysis
di: Bermingham, Nicholas, et al.
Pubblicazione: (2025)

Capturing the Curve: Functional Data Analysis for Validated Digital Outcome Measures
di: Tackney, Mia S., et al.
Pubblicazione: (2026)

On the Reliability of Surface Observations and the Pitfalls of Verification Against Own Analyses
di: Jean‐François Caron, et al.
Pubblicazione: (2025)

A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification
di: Yang, Wenlong, et al.
Pubblicazione: (2023)

A Statistically Reliable Optimization Framework for Bandit Experiments in Scientific Discovery
di: Li, Tong, et al.
Pubblicazione: (2026)

Estimating Consensus Epidemic Trajectories via a Constrained Power Fréchet Mean with Functional Registration
di: Tomo, Yui, et al.
Pubblicazione: (2026)

A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling
di: Tang, Dandan, et al.
Pubblicazione: (2023)

Statistical Analysis of Quantitative Cancer Imaging Data
di: Mohammed, Shariq, et al.
Pubblicazione: (2024)

The EEPAS Model Revisited: Statistical Formalism and a High-Performance, Reproducible Open-Source Framework
di: Chung, Szu-Chi, et al.
Pubblicazione: (2025)

Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data
di: Clark, Jared M., et al.
Pubblicazione: (2025)

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
di: Peterson, Emily N, et al.
Pubblicazione: (2025)

A Statistical Market-Design Framework for Academic Job Markets
di: Kaazempur-Mofrad, Ali, et al.
Pubblicazione: (2026)

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
di: Zivich, Paul N, et al.
Pubblicazione: (2025)