Selected article for: "adjust estimate and logistic model"

Author: Badruddoza, S.; Amin, M. D.
Title: Causal Impacts of Teaching Modality on U.S. COVID-19 Spread in Fall 2020 Semester
  • Cord-id: usqgyxuz
  • Document date: 2020_11_3
  • ID: usqgyxuz
    Snippet: We study the impact of college openings and teaching modality on county-level COVID-19 cases and deaths using the information of 745 U.S. colleges. We group the colleges by their teaching modes in the fall 2020 semester: in-person, online, and hybrid; and employ a logistic model and a gradient boosting algorithm to estimate the propensity scores for the three groups to adjust the pre-treatment imbalances of college and county-level covariates. We find that greater enrollments, individual mask po
    Document: We study the impact of college openings and teaching modality on county-level COVID-19 cases and deaths using the information of 745 U.S. colleges. We group the colleges by their teaching modes in the fall 2020 semester: in-person, online, and hybrid; and employ a logistic model and a gradient boosting algorithm to estimate the propensity scores for the three groups to adjust the pre-treatment imbalances of college and county-level covariates. We find that greater enrollments, individual mask policies, and fewer republican votes in the county are major predictors of adopting online or hybrid modes. Treatment effects provide evidence that college reopenings, especially with in-person teaching elements, increase daily new cases and deaths.

    Search related documents:
    Co phrase search for related documents
    • account risk and machine learning: 1
    • logistic regression and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • logistic regression and machine learning approach: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • logit model and machine learning: 1, 2
    • logit model and machine learning approach: 1