Cover Image

Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa (2023) Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kubuafor, E., Baidoo, D., Okeke, O. J., Amevor, R., Arhin, G., Korley, J. T.
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Spatial Heterogeneity in U.S. Cancer Mortality: A Multi-Site Clustering and Spatial Autocorrelation Analysis
by: Kubuafor, E., et al.
Published: (2025)

Adaptive Weighting for Time-to-Event Continual Reassessment Method: Improving Safety in Phase I Dose-Finding Through Data-Driven Delay Distribution Estimation
by: Amevor, Robert, et al.
Published: (2026)

Time-Varying Hazard Patterns and Co-Mutation Profiles of KRAS G12C and G12D in Real-World NSCLC
by: Amevor, Robert, et al.
Published: (2026)

Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments
by: Baidoo, D., et al.
Published: (2025)

Individualized Treatment Effects in Advanced Prostate Cancer: A Causal-Survival Modeling Approach to Risk-Guided Therapy
by: Korley, J. T.
Published: (2025)

Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis
by: Baidoo, D., et al.
Published: (2025)

Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
by: Okeke, Onyedikachi J., et al.
Published: (2025)

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)

Integrative Prognostic Modeling of Breast Cancer Survival with Gene Expression and Clinical Data
by: Amevor, Robert, et al.
Published: (2025)

Robust Survival Estimation under Interval Censoring: Expectation-Maximization and Bayesian Accelerated Failure Time Assessment via Simulation and Application
by: Korley, J. T.
Published: (2025)

A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
by: Korley, J. T.
Published: (2026)

Forecasting Mortality Rates: A Linear Mixed-Effects Model
by: Dastranj, Reza, et al.
Published: (2023)

Forecasting Mortality Rates: Unveiling Patterns with a PCA-GEE Approach
by: Dastranj, Reza, et al.
Published: (2024)

Zero-Shot Forecasting Mortality Rates: A Global Study
by: Petnehazi, Gabor, et al.
Published: (2025)

Climate Vulnerability and Community Health: Identifying Greensboro Neighborhoods at Intersectional Risk
by: Usman, Rehinatu, et al.
Published: (2026)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
by: Clark, Samuel J.
Published: (2026)

Copula Conformal Prediction for Multi-step Time Series Forecasting
by: Sun, Sophia, et al.
Published: (2022)

On the Limits of Prediction: Forecastability Profiles and Information Decay in Time Series
by: Catt, Peter Maurice
Published: (2026)

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration
by: Ghosh, Sujit K., et al.
Published: (2024)

Mortality Modeling and Forecasting with the Actuaries Climate Index
by: Barigou, Karim, et al.
Published: (2025)

Mortality Forecasting with Generalized Additive Mixed Models
by: Dastranj, Reza, et al.
Published: (2023)

Lung Cancer Survival Prediction Using Machine Learning and Statistical Methods
by: Nair, Varun Vishwanathan, et al.
Published: (2025)

Socio-Spatial Patterns of Suicide Mortality in the United States
by: Tiwari, Kushagra, et al.
Published: (2026)

Functional Time Series Forecasting of Distributions: A Koopman-Wasserstein Approach
by: Wang, Ziyue, et al.
Published: (2025)

Time Series based Ensemble Model Output Statistics for Temperature Forecasts Postprocessing
by: Jobst, David, et al.
Published: (2024)

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics
by: Wu, Kejin, et al.
Published: (2026)

Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
by: Motamedi, Maryam, et al.
Published: (2021)

Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework
by: Katz, Harrison, et al.
Published: (2025)

Day-Ahead Electricity Price Forecasting Using Merit-Order Curves Time Series
by: Koechlin, Guillaume, et al.
Published: (2025)

Comparing Clustering Approaches for Smart Meter Time Series: Investigating the Influence of Dataset Properties on Performance
by: Yerbury, Luke W., et al.
Published: (2024)

Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)

Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
by: Aslani, Shahab, et al.
Published: (2026)

Semiparametric Modelling of Cancer Mortality Trends in Colombia
by: Buitrago, Lina, et al.
Published: (2024)

Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching
by: Xu, Xiuqin, et al.
Published: (2021)

Predicting the spatial distribution and demographics of commercial swine farms in the United States
by: Sanchez, Felipe E., et al.
Published: (2025)

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

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)

Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions
by: Ling, Jiahe, et al.
Published: (2025)

Enhancing Mortality Forecasting with Ensemble Learning: A Shapley-Based Approach
by: Bimonte, G., et al.
Published: (2026)

A Survival Framework for Estimating Child Mortality Rates using Multiple Data Types
by: Paulson, Katherine R, et al.
Published: (2026)