Poisson Regression, Count regression, Discrete variable, Statistical, method, relationship, predictor variables, count outcome, Analyzing, count data, Predicts, dependent variable (DV), response, Outcome variable, Count of events, non-negative integer, Independent variables (IV), Predictor, explanatory, exposure, Continuous, Nominal, Ordinal, Poisson regression model, μ, coefficients, natural logarithm, Assumptions, Independence of observation, Poisson distribution, Mean, variance, equidispersion, Linearity log count, Heteroscedasticity, Random sample, collinearity, Visualize, Plotting, Histogram, Bar charts, Scatter plot, Statistical Tests, Poisson distribution, Kolmogorov-Smirnov test, Overdisperse data, Negative Binomial regression, Negative binomial distribution, Zero-Inflated Negative Binomial Distribution, Zero truncated Negative Binomial Distribution, Generalized negative binomial regression, Zero inflated Poisson regression , Zero inflated negative Binomial regression, Truncated poison regression, Truncated negative binomial regression, Censored Poisson regression, Poisson model with endogenous covariates, Poisson model with sample selection, Panel Poisson regression, Panel negative binomial regression, Multilevel Poisson regression , Multilevel negative binomial regression, Exact Poisson regression, Poisson regression finite mixture model, Negative binomial regression finite mixture model, Truncated Poisson regression finite mixture model, Incidence rate ratio (IRR), effect size, Incidence Rate, Incidence density ratio, Relative risk and exponential coefficient
IR = "Number of new cases within time period " /"Number of people at risk for the disease "
IRR = "Incidence Rate 1" /"Incidence Rate 2"