Review:
Poisson Regression
overall review score: 4.2
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score is between 0 and 5
Poisson regression is a statistical model used to analyze count data, where the dependent variable is a count of occurrences within a fixed time or space interval.
Key Features
- Suitable for count data
- Assumes that the mean and variance of the dependent variable are equal
- Can handle overdispersion
- Interpretable coefficients
Pros
- Useful for analyzing count data
- Easy to interpret results
- Can handle both underdispersion and overdispersion
Cons
- Assumes mean and variance equality, which may not always hold true
- Limited application to continuous dependent variables