Selected article for: "binary variable and national crisis"
Author: Ran Li; Bingchen Yang; Jerrod Penn; Bailey Houghtaling; Juan Chen; Witoon Prinyawiwatkul; Brian Roe; Danyi Qi
Title: Perceived vulnerability to COVID-19 infection from event attendance: Results from Louisiana, USA, two weeks preceding the national emergency declaration
  • Document date: 2020_4_6
    • ID: hng8ivz2_6
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint pattern (agreeing a national crisis was likely but not expressing concern about attending campus 2 2 2 events) stayed relatively constant over the period and featured no significant differences from the 2 2 3 first day of the study. Vulnerability variables in their Likert scale form (1 = very unlikely/unconcerned, …., 5 = very likely/concerned) and binary logit model wa.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint pattern (agreeing a national crisis was likely but not expressing concern about attending campus 2 2 2 events) stayed relatively constant over the period and featured no significant differences from the 2 2 3 first day of the study. Vulnerability variables in their Likert scale form (1 = very unlikely/unconcerned, …., 5 = very likely/concerned) and binary logit model was estimated for the National, not Local variable. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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