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Poisson Regression with Rates

This study by Simo Näyhä (2002) explores traffic deaths related to superstition on Friday the 13th versus other Fridays in Finland from 1971 to 1997. The research presents Poisson regression coefficients, predicted values, residuals, and risk ratios, comparing male and female accident death rates.

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Poisson Regression with Rates

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  1. Poisson Regression with Rates Traffic Deaths in Finland on Friday the 13th and Other Fridays 1971-1997 Simo Näyhä (2002). “Traffic Deaths and Superstion on Friday the 13th,” American Journal of Psychiatry, Vol. 159, #12, pp. 2110-21111

  2. Data • Traffic Deaths and Exposure by Gender on Friday the 13th and Other Fridays in Finland for years 1971-1997 • Traffic Deaths are Given as Counts by Friday type and gender • Exposure is person days (100,000s)

  3. Poisson Model for Rates

  4. Likelihood and ML Estimates - I

  5. Likelihood and ML Estimates - II

  6. Friday the 13th Results – Regression Coefficients

  7. Predicted Values, Residuals, Risk Ratios

  8. Friday the 13th Results TDR=Traffic Death Rate (per 100,000 exposed) Males tend to have higher accident death rates than females. The Friday the 13th effect is not significant for males (Risk Ratio interval contains 1). The Friday the 13th Effect is significant for females (Risk Ratio interval is entirely above one)

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