Ordinary Least Squares (OLS), Poisson, Negative Binomial, and Quasi-Poisson Regression methods were assessed for testing the statistical significance of a trend by performing 10,000 simulations. The Poisson method should be used when data follow a Poisson distribution. The other methods should be used when data follow a normal distribution.
Thompson, Daniel R.
"Assessing Trends: Monte Carlo Trials with Four Different Regression Methods,"
Journal of Modern Applied Statistical Methods: Vol. 8
, Article 4.
Available at: http://digitalcommons.wayne.edu/jmasm/vol8/iss2/4