Imagen de Portada

Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Künsch, Hans R., Sigrist, Fabio
Formato:	Preprint
Publicado:	2025
Materias:	Methodology Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Debiasing hazard-based, time-varying vaccine effects using vaccine-irrelevant infections: An observational extension of a pivotal Phase 3 COVID-19 vaccine efficacy trial
por: Ashby, Ethan, et al.
Publicado: (2025)

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
por: Castillo-Mateo, Jorge, et al.
Publicado: (2025)

Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
por: Dahl, Angela M, et al.
Publicado: (2026)

Constructing Simultaneous Confidence Bands for Errors-in-variables Curves with Application to the Lorenz Curve
por: Dong, Ziqing, et al.
Publicado: (2025)

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

On the estimation and interpretation of effect size metrics
por: Loukas, Orestis, et al.
Publicado: (2024)

Multivariate reconciliation for hierarchical time series
por: Pinheiro, Ana Caroline, et al.
Publicado: (2026)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
por: Garraza, Lucas Godoy, et al.
Publicado: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
por: Garraza, Lucas Godoy, et al.
Publicado: (2024)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
por: Dashti, S. Ghazaleh, et al.
Publicado: (2021)

Comparing estimators of discriminative performance of time-to-event models
por: Jin, Ying, et al.
Publicado: (2024)

Double machine learning to estimate the effects of multiple treatments and their interactions
por: Xiang, Qingyan, et al.
Publicado: (2025)

A new method for augmenting short time series, with application to pain events in sickle cell disease
por: Utkarsh, Kumar, et al.
Publicado: (2026)

Hierarchical Bayesian spectral analysis of multiple stationary time series
por: Lee, Rebecca, et al.
Publicado: (2025)

The Whittle likelihood for mixed models with application to groundwater level time series
por: Pypkowski, Jakub J., et al.
Publicado: (2025)

Tensor time series change-point detection in cryptocurrency network data
por: Anastasiou, Andreas, et al.
Publicado: (2025)

A latent space model for multivariate count data time series analysis
por: Kaur, Hardeep, et al.
Publicado: (2024)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
por: Williams, Nicholas, et al.
Publicado: (2025)

Treatment bootstrapping: A new approach to quantify uncertainty of average treatment effect estimates
por: Li, Jing
Publicado: (2023)

Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
por: Smith, E. Davies, et al.
Publicado: (2024)

A marginalized three-part interrupted time series regression model for proportional data
por: Ye, Shangyuan, et al.
Publicado: (2022)

Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
por: Tian, Haodong, et al.
Publicado: (2024)

A sampling method based on highest density regions: Applications to surrogate models for rare events estimation
por: Minini, Jocelyn, et al.
Publicado: (2025)

Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
por: Murphy-Barltrop, C. J. R., et al.
Publicado: (2023)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
por: Liu, Xueqing, et al.
Publicado: (2023)

A time warping model for seasonal data with application to age estimation from narwhal tusks
por: Reiter, Lars Nørtoft, et al.
Publicado: (2024)

Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
por: Kowal, Daniel R.
Publicado: (2024)

Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
por: Girolimetto, Daniele, et al.
Publicado: (2025)

Investigating the performance of the Phase II Hotelling T2 chart when monitoring multivariate time series observations
por: Nadi, Adel Ahmadi, et al.
Publicado: (2025)

Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data
por: Gauran, Iris Ivy, et al.
Publicado: (2024)

Predicting the trajectory of intracranial pressure in patients with traumatic brain injury: evaluation of a foundation model for time series
por: van Leeuwen, Florian D., et al.
Publicado: (2024)

Coherent forecast combination for linearly constrained multiple time series
por: Girolimetto, Daniele, et al.
Publicado: (2024)

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

Extreme value methods for estimating rare events in Utopia
por: André, L. M., et al.
Publicado: (2023)

Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
por: Cantoni, Beatrice, et al.
Publicado: (2025)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
por: Ballerini, Veronica, et al.
Publicado: (2023)

Conformal prediction for high-dimensional functional time series: Applications to subnational mortality
por: Shang, Han Lin
Publicado: (2026)

Forecasting high-dimensional functional time series with dual-factor structures
por: Tang, Chen, et al.
Publicado: (2021)

How many federal employees are not satisfied? Using response times to estimate population proportions under the survey variable cause model
por: Auerbach, Jonathan
Publicado: (2025)

Causal effects on non-terminal event time with application to antibiotic usage and future resistance
por: Zehavi, Tamir, et al.
Publicado: (2025)