A comparative analysis of time series models for forecasting recovered and deceased COVID-19 cases in India

Biostatistics and Epidemiology · Available online 4 Apr 2026 · In press · DOI 10.1080/24709360.2026.2647492

Authors being retrieved — see the publisher record. https://doi.org/10.1080/24709360.2026.2647492

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Related articles

• Unlocking better bladder cancer care with AMAZON: adaptive quantile monitoring under progressive censoring · Biostatistics and Epidemiology · 2026 · Same journal
• Modeling time taken to HIV testing and uptake of test results: extension of the PWP model to handle time-dependent covariates · Biostatistics and Epidemiology · 2023 · Same journal
• Modeling time to event for epicenters of the pandemic COVID-19 · Biostatistics and Epidemiology · 2023 · Same journal
• Modeling incubation period and time of exposure using the four-parameter generalized gamma distribution · Biostatistics and Epidemiology · 2026 · Same journal
• Finite Markov chains with absorbing states and mis-specified random effects: application to cognitive data · Biostatistics and Epidemiology · 2025 · Same journal
• Public transportation network scan for rapid surveillance · Biostatistics and Epidemiology · 2022 · Same journal
• Doubly weighted estimating equations and weighted multiple imputation for causal inference with an incomplete subgroup variable · Biostatistics and Epidemiology · 2022 · Same journal
• Bayesian multinomial model with inference based on Pólya-Gamma augmentation · Biostatistics and Epidemiology · 2024 · Same journal
• Public transportation network scan for rapid surveillance · Biostatistics and Epidemiology · 2022 · Same journal
• Weighting in marginal structural models with intermediate confounder-mediators in longitudinal studies · Biostatistics and Epidemiology · 2026 · Same journal