Statistical predictions with glmnet

por Engebretsen, Solveig, Bohlin, Jon
Publicado 2019

A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study

por Engebretsen, Solveig, Rø, Gunnar, de Blasio, Birgitte Freiesleben
Publicado 2022

A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions

por Engebretsen, Solveig, Engø-Monsen, Kenth, Frigessi, Arnoldo, Freiesleben de Blasio, Birgitte
Publicado 2019

Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh

por Engebretsen, Solveig, Engø-Monsen, Kenth, Aleem, Mohammad Abdul, Gurley, Emily Suzanne, Frigessi, Arnoldo, de Blasio, Birgitte Freiesleben
Publicado 2020

Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021

por Kamineni, Meghana, Engø-Monsen, Kenth, Midtbø, Jørgen E, Forland, Frode, de Blasio, Birgitte Freiesleben, Frigessi, Arnoldo, Engebretsen, Solveig
Publicado 2023

Whole exome sequencing of high-risk neuroblastoma identifies novel non-synonymous variants

por Przybyła, Weronika, Gjersvoll Paulsen, Kirsti Marie, Mishra, Charitra Kumar, Nygård, Ståle, Engebretsen, Solveig, Ruud, Ellen, Trøen, Gunhild, Beiske, Klaus, Baumbusch, Lars Oliver
Publicado 2022

A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting

por Engebretsen, Solveig, Diz-Lois Palomares, Alfonso, Rø, Gunnar, Kristoffersen, Anja Bråthen, Lindstrøm, Jonas Christoffer, Engø-Monsen, Kenth, Kamineni, Meghana, Hin Chan, Louis Yat, Dale, Ørjan, Midtbø, Jørgen Eriksson, Stenerud, Kristian Lindalen, Di Ruscio, Francesco, White, Richard, Frigessi, Arnoldo, de Blasio, Birgitte Freiesleben
Publicado 2023