Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A modeling framework for the analysis of the SARS‐CoV2 transmission dynamics
A modeling framework for the analysis of the SARS‐CoV2 transmission dynamics
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Anastasia Chatzilena
,
Nikolaos Demiris
,
Konstantinos Kalogeropoulos
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Statistics in Medicine
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Description
DOI:
10.1002/sim.10195
Similar Items
Inference under superspreading: Determinants of SARS‐CoV‐2 transmission in Germany
by: Patrick W. Schmidt
Published: (2024)
A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater
by: Xiaotian Dai, et al.
Published: (2024)
Sample size determination for prediction models via learning‐type curves
by: Alimu Dayimu, et al.
Published: (2024)
Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
by: Apsemidis, Anastasios, et al.
Published: (2023)
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
by: David Svensson, et al.
Published: (2026)