Selected article for: "linear predictor and negative binomial model"
Author: Spencer Woody; Mauricio Garcia Tec; Maytal Dahan; Kelly Gaither; Spencer Fox; Lauren Ancel Meyers; James G Scott
Title: Projections for first-wave COVID-19 deaths across the US using social-distancing measures derived from mobile phones
  • Document date: 2020_4_22
    • ID: 87lxnslh_36
    Snippet: for some β vector. Keeping in mind that λ it is the expected value for a count outcome (daily deaths y it ), we recognize this as the expression for the linear predictor in a generalized linear model (GLM) with a log link function, as might arise in a Poisson or negative-binomial regression model for y. On the right-hand side, we have a locally quadratic regression on t, the number of elapsed days since deaths crossed the threshold value of 3 p.....
    Document: for some β vector. Keeping in mind that λ it is the expected value for a count outcome (daily deaths y it ), we recognize this as the expression for the linear predictor in a generalized linear model (GLM) with a log link function, as might arise in a Poisson or negative-binomial regression model for y. On the right-hand side, we have a locally quadratic regression on t, the number of elapsed days since deaths crossed the threshold value of 3 per 10 million. Moreover, there 6 All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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