Selected article for: "model fit and viral load"

Author: Keisuke Ejima; Kwang Su Kim; Yusuke Ito; Shoya Iwanami; Hirofumi Ohashi; Yoshiki Koizumi; Koichi Watashi; Ana I Bento; Kazuyuki Aihara; Shingo Iwami
Title: Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are ""Imported Cases"" Truly Imported?
  • Document date: 2020_3_31
  • ID: gb9rkv9c_29
    Snippet: respectively. We used the lowest (10 -6.67 ) and highest (10 0.03 ) values as the boundary. nonlinear mixed-effects model, was employed to fit the model to the viral load data. Nonlinear 165 mixed-effects modelling approaches incorporate a fixed effect as well as a random effect 166 describing the inter-patient variability in parameters. Including a random effect amounts to a partial 167 pooling of the data between individuals to improve estimate.....
    Document: respectively. We used the lowest (10 -6.67 ) and highest (10 0.03 ) values as the boundary. nonlinear mixed-effects model, was employed to fit the model to the viral load data. Nonlinear 165 mixed-effects modelling approaches incorporate a fixed effect as well as a random effect 166 describing the inter-patient variability in parameters. Including a random effect amounts to a partial 167 pooling of the data between individuals to improve estimates of the parameters applicable across 168 the population of cases.

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