Using PROC GENMOD in SAS, struggling to figure out what parameters of use
As you can tell by the title, I am thoroughly confused.Here is the background.
Dataframe:
Response: Y
Explanatory: X,Z
Time Variable: T
So assume Y~Poisson with mean (mu).
mu = lambda * T
log(lambda) is a linear combination of X and
Z:log(lambda) = a + bX +cZ
So now the task is to build a glm but I am unsure what model parameters am I looking for.
data HW6;
input T X Z Y;
logtime = log(T);
datalines;
2.6 0.9 1.4 1 0.95551
1.6 0.4 0.6 0 0.47000
1.6 0.8 1.9 1 0.47000
1.7 0.7 1.7 1 0.53063
2.6 0.7 1.4 2 0.95551
2.9 0.8 0.2 1 1.06471
;
run;
proc genmod data=HW6;
model Y=X Z / offset=logtime dist=p;
run;
I am clearly missing something here, but I don't understand what. My task is to find the estimates for the parameters but X,Z can't be the parameters. How to I change my code to represent a,b,c?
sas glm proc poisson
asked Nov 14 '18 at 0:12
Juanito Tomas
438
add a comment |
As you can tell by the title, I am thoroughly confused.Here is the background.
Dataframe:
Response: Y
Explanatory: X,Z
Time Variable: T
So assume Y~Poisson with mean (mu).
mu = lambda * T
log(lambda) is a linear combination of X and
Z:log(lambda) = a + bX +cZ
So now the task is to build a glm but I am unsure what model parameters am I looking for.
data HW6;
input T X Z Y;
logtime = log(T);
datalines;
2.6 0.9 1.4 1 0.95551
1.6 0.4 0.6 0 0.47000
1.6 0.8 1.9 1 0.47000
1.7 0.7 1.7 1 0.53063
2.6 0.7 1.4 2 0.95551
2.9 0.8 0.2 1 1.06471
;
run;
proc genmod data=HW6;
model Y=X Z / offset=logtime dist=p;
run;
I am clearly missing something here, but I don't understand what. My task is to find the estimates for the parameters but X,Z can't be the parameters. How to I change my code to represent a,b,c?
sas glm proc poisson
asked Nov 14 '18 at 0:12
Juanito Tomas
438
add a comment |
As you can tell by the title, I am thoroughly confused.Here is the background.
Dataframe:
Response: Y
Explanatory: X,Z
Time Variable: T
So assume Y~Poisson with mean (mu).
mu = lambda * T
log(lambda) is a linear combination of X and
Z:log(lambda) = a + bX +cZ
So now the task is to build a glm but I am unsure what model parameters am I looking for.
data HW6;
input T X Z Y;
logtime = log(T);
datalines;
2.6 0.9 1.4 1 0.95551
1.6 0.4 0.6 0 0.47000
1.6 0.8 1.9 1 0.47000
1.7 0.7 1.7 1 0.53063
2.6 0.7 1.4 2 0.95551
2.9 0.8 0.2 1 1.06471
;
run;
proc genmod data=HW6;
model Y=X Z / offset=logtime dist=p;
run;
I am clearly missing something here, but I don't understand what. My task is to find the estimates for the parameters but X,Z can't be the parameters. How to I change my code to represent a,b,c?
sas glm proc poisson
asked Nov 14 '18 at 0:12
Juanito Tomas
438
As you can tell by the title, I am thoroughly confused.Here is the background.
Dataframe:
Response: Y
Explanatory: X,Z
Time Variable: T
So assume Y~Poisson with mean (mu).
mu = lambda * T
log(lambda) is a linear combination of X and
Z:log(lambda) = a + bX +cZ
So now the task is to build a glm but I am unsure what model parameters am I looking for.
data HW6;
input T X Z Y;
logtime = log(T);
datalines;
2.6 0.9 1.4 1 0.95551
1.6 0.4 0.6 0 0.47000
1.6 0.8 1.9 1 0.47000
1.7 0.7 1.7 1 0.53063
2.6 0.7 1.4 2 0.95551
2.9 0.8 0.2 1 1.06471
;
run;
proc genmod data=HW6;
model Y=X Z / offset=logtime dist=p;
run;
I am clearly missing something here, but I don't understand what. My task is to find the estimates for the parameters but X,Z can't be the parameters. How to I change my code to represent a,b,c?
sas glm proc poisson
sas glm proc poisson
asked Nov 14 '18 at 0:12
Juanito Tomas
438
asked Nov 14 '18 at 0:12
Juanito Tomas
438
edited Nov 14 '18 at 0:54
asked Nov 14 '18 at 0:12
Juanito Tomas
438
asked Nov 14 '18 at 0:12
Juanito Tomas
438
asked Nov 14 '18 at 0:12
Juanito Tomas
438
438
add a comment |
add a comment |
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