Question 3, Chap 9

Here is how I did this problem.

predict e_inj, mu
predict dev, standardized deviance
generate e_rate = e_inj/ childyrs
lowess dev e_inj, bwidth(0.2) msymbol(Oh)
count if dev>2 dev < -2
list dev e_inj inj_dth if dev>2 & inj_dth >= 2

MIKE

Chater 9

Julie and I got through the last question, although we abbreviated filling in the rest of the table using lincom, we just did a couple of examples. Here is our code:

set memory 11000
use C:\WDDtext\8.ex.InjuryDeath.dta
xi: glm inj_dth i.age_mom i.lbw i.educ_mom i.income i.illegit i.oth_chld i.race_mom i.pnclate i.age, family(poisson) link(log) lnoffset(childyrs) eform
* A couple examples of using lincom, completing the rest of the table
lincom pnclate _Iage_mom_29- _Iage_mom_30, irr
lincom _Iage_mom_29- _Iage_mom_30, irr
sort age age_mom lbw educ_mom income illegit oth_chld race_mom pnclate
collapse (sum) childyrs= childyrs inj_dth = inj_dth, by(age age_mom lbw educ_mom illegit income oth_chld race_mom pnclate)
xi: glm inj_dth i.age_mom i.lbw i.educ_mom i.income i.illegit i.oth_chld i.race_mom i.pnclate i.age, family(poisson) link(log) lnoffset(childyrs)
predict e_inj_dth, mu
predict dev, standardized deviance
generate e_rate = 1000* e_inj_dth/ childyrs
label variable e_rate "Incidence of Injury Death per Thousand"
lowess dev e_rate, bwidth(0.2) msymbol(Oh)

Devoted class goers

I looked over the homework and the first two questions are really easy. I just changed one line of code (given below) and then ran the exact same program as we did for the the last chapter, question 3. I will start to work on #3 and if anyone has any specific questions on it, feel free to ask.

xi: glm inj_dth i.age_mom i.lbw i.educ_mom i.income i.illegit i.oth_chld i.race_mom i.pnclate i.age, family(poisson) link(log) lnoffset(childyrs) eform

MIKE