Interpretation of average marginal effect for proportion outcome in poisson model
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TO see the association of malaria prevalence with village level risk factors, I ran a Poisson model in r with the prevalence of malaria(y) as a dependent variable, altitude(x1) and Forestation(x2) as an independent variable and log of Population(x3) as an offset. Further, to estimate the independent effects of independent variables, I extracted the average marginal effects (AME) using margin command in R.
res<-glmer(y~x1+x2+(1|cluster), family = poisson, offset = log(x3))
margins(res)
However, now I am not quite sure how to interpret those AME numbers appropriately. You can have a look at this link which is a lead question of this question.
logistic-regression
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data9data9
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$begingroup$
TO see the association of malaria prevalence with village level risk factors, I ran a Poisson model in r with the prevalence of malaria(y) as a dependent variable, altitude(x1) and Forestation(x2) as an independent variable and log of Population(x3) as an offset. Further, to estimate the independent effects of independent variables, I extracted the average marginal effects (AME) using margin command in R.
res<-glmer(y~x1+x2+(1|cluster), family = poisson, offset = log(x3))
margins(res)
However, now I am not quite sure how to interpret those AME numbers appropriately. You can have a look at this link which is a lead question of this question.
logistic-regression
asked 8 mins ago
data9data9
31
New contributor
data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
TO see the association of malaria prevalence with village level risk factors, I ran a Poisson model in r with the prevalence of malaria(y) as a dependent variable, altitude(x1) and Forestation(x2) as an independent variable and log of Population(x3) as an offset. Further, to estimate the independent effects of independent variables, I extracted the average marginal effects (AME) using margin command in R.
res<-glmer(y~x1+x2+(1|cluster), family = poisson, offset = log(x3))
margins(res)
However, now I am not quite sure how to interpret those AME numbers appropriately. You can have a look at this link which is a lead question of this question.
logistic-regression
asked 8 mins ago
data9data9
31
New contributor
data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
TO see the association of malaria prevalence with village level risk factors, I ran a Poisson model in r with the prevalence of malaria(y) as a dependent variable, altitude(x1) and Forestation(x2) as an independent variable and log of Population(x3) as an offset. Further, to estimate the independent effects of independent variables, I extracted the average marginal effects (AME) using margin command in R.
res<-glmer(y~x1+x2+(1|cluster), family = poisson, offset = log(x3))
margins(res)
However, now I am not quite sure how to interpret those AME numbers appropriately. You can have a look at this link which is a lead question of this question.
logistic-regression
logistic-regression
asked 8 mins ago
data9data9
31
New contributor
data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 8 mins ago
data9data9
31
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data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 8 mins ago
data9data9
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asked 8 mins ago
data9data9
31
asked 8 mins ago
data9data9
31
31
New contributor
data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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New contributor
data9 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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