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Negative Binomial Regression/Evidence
Method evidence record

Negative Binomial Regression

Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data.

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Negative Binomial Regression
Taxonomic method record · regression-model / econometrics
  • Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. · DOI 10.1017/CBO9780511973420
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Related methods

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See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.

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1 recorded citation, copied from the method source record.

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