Chapter 3 Notes

2 mortality rates age deaths population 30 34 1 17742

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Unformatted text preview: for group i and θ is some rate increase. i = 1, 2, . . . , 8 represents group age. As a GLM, log (µi ) = log(ni ) + θ ∗ i UNM Table 3.2 Mortality rates data Table 3.2 Mortality rates age deaths population 30-34 1 17742 35-39 5 16554 40-44 5 16059 45-49 12 13083 50-54 25 10784 55-59 38 9645 60-64 54 10706 65-69 65 9933 UNM 5 4 3 2 log((deaths/pop) * 1e+05) 6 Scatter plot of data 1 2 3 4 5 6 7 8 age UNM Fit of model with glm R-function glm(deaths˜age,offset=log(pop/100000), family=poisson(link="log")) Coefficients: (Intercept) age 2.497 0.522 Degrees of Freedom: 7 Total (i.e. Null); AIC: 54.37 glm(deaths˜age-1,offset=log(pop/100000), family=poisson(link="log")) Coefficients: age 0.8682 Degrees of Freedom: 8 Total (i.e. Null); AIC: 115.9 6 Residual 7 Residual UNM...
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This note was uploaded on 01/27/2014 for the course STAT 574 taught by Professor Gabrielhuerta during the Fall '13 term at New Mexico.

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