Selected article for: "binomial model 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_39
    Snippet: where E(y it ) = λ it and Var(y it ) = λ it (1 + λ it /r). Here we have included an offset for the logarithm of N i , the population in area i, so that the linear predictor can be interpreted as the log per-capita death rate. Here x it is a vector of social-distancing predictors that are allowed to "flatten the curve" by changing its shape, via the second-stage regression. The negative binomial model naturally handles the heteroscedasticity an.....
    Document: where E(y it ) = λ it and Var(y it ) = λ it (1 + λ it /r). Here we have included an offset for the logarithm of N i , the population in area i, so that the linear predictor can be interpreted as the log per-capita death rate. Here x it is a vector of social-distancing predictors that are allowed to "flatten the curve" by changing its shape, via the second-stage regression. The negative binomial model naturally handles the heteroscedasticity and overdispersion that we observe in the data.

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