Negative Binomial Regression
By F. McElduff. 2008
424 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1ce6cccefe286e6ad8cd3a00e953a489cdd12edc
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Citations in the corpus
- How Do Social Defenses Work? A Resource-Dependence Lens on Technology Ventures, Venture Capital Investors, and Corporate Relationships (2014, unknown): “As above, we verified that all interactions were significant (p .05) at the various levels depicted in Figure 2, such as the minimum, mean, and maximum levels of secrecy and timing (Hilbe, 2011).”
- Reducing Gang Violence Using Focused Deterrence: Evaluating the Cincinnati Initiative to Reduce Violence (CIRV) (2013, methodology): “We re-estimated each Poisson regression model by relying on the conditional negative binomial distribution due to the fact that the overdispersion in the models that were estimated could lead to biased statistical inferences (Hilbe, 2007; Osgood, 2000).”
- The Differential Impact of Knowledge Depth and Knowledge Breadth on Creativity over Individual Careers (2017, methodology): “In our dataset, calculating standardized coefficients for Model 3 did not make sense: when the outcome is a count variable, the interpretation of effect sizes cannot be based on the standardized coefficient of the interaction term (Hilbe, 2007).”
- Exploring the Link Between Mind Wandering, Mindfulness, and Creativity: A Multidimensional Approach (2018, unknown): “For this reason, and in agreement with Silvia and Kimbrel (2010) and Silvia et al. (2012), the main predictors of creative achievement were examined using negative binomial models, which can account for overdispersed outcomes (Hilbe, 2007; Long, 1997).”