Displaying 1 result from an estimated 1 matches for "mmi_vbt_expected".
2008 Mar 17
1
Std errors in glm models w/ and w/o intercept
...0 0 0 0
25.0-29.9 367 19 0 0 0 0 0 0 0 0
30.0-34.9 349 95 39 17 8 9 3 4 0 1
35.0-39.9 351 90 50 21 20 3 3 2 1 0
40.0-55.0 386 60 15 7 4 0 0 1 0 0
> bmi.base <- with(bmi,glm(Actual_Deaths ~
BMI + offset(log( MMI_VBT_Expected)), family="poisson"))
> summary(bmi.base)
Call:
glm(formula = Actual_Deaths ~ BMI + offset(log(MMI_VBT_Expected)),
family = "poisson")
Deviance Residuals:
Min 1Q Median 3Q Max
-2.6385 -0.5245 -0.2722 -0.1041 3.4426
Coefficients:...