rsos171089_si_006.pdf (69.46 kB)
Tiee_etal-Table S2 from Ghosts of infections past: using archival samples to understand a century of monkeypox virus prevalence among host communities across space and time
Version 2 2020-10-15, 11:36
Version 1 2018-01-11, 10:22
journal contribution
posted on 2018-01-11, 10:22 authored by Madeline S. Tiee, Ryan J. Harrigan, Henri A. Thomassen, Thomas B. SmithTable S2. Binomial logistic regression model analysis of MPXV positive/negative outcome data based on AIC value. The best model based on AIC value (AIC = 352.85) included museum of origin, species, month of collection, collection period, sex, and age of specimen as significant variables predicting MPXV infection outcome. Significance was determined by likelihood ratio tests comparing the model with and without a particular variable