At 10:37 13/07/2009, anna.bucharova wrote:
Dear all.
I am sort of beginner with R. I do logistic regression with binomial
response variable and several continuous and categorical variables. In one
categorical variable, zero cell occures (2x2 table looks like
7 - 0
23 - 25
This leads to overestim
At 10:37 13/07/2009, anna.bucharova wrote:
Dear all.
I am sort of beginner with R. I do logistic regression with binomial
response variable and several continuous and categorical variables. In one
categorical variable, zero cell occures (2x2 table looks like
7 - 0
23 - 25
This leads to overestim
dear anna,
if you are not interested in point estimate and SE of the parameter of
the aforementioned categorical variable, I believe the conventional
glm(..,family=binomial) is correct. In particular, the returned deviance
is reliable and also it is the relevant likelihood ratio test..
hope t
On Jul 13, 2009, at 5:37 AM, anna.bucharova wrote:
Dear all.
I am sort of beginner with R. I do logistic regression with binomial
response variable and several continuous and categorical variables.
In one
categorical variable, zero cell occures (2x2 table looks like
7 - 0
23 - 25
This leads
Dear all.
I am sort of beginner with R. I do logistic regression with binomial
response variable and several continuous and categorical variables. In one
categorical variable, zero cell occures (2x2 table looks like
7 - 0
23 - 25
This leads to overestimating of odds ratio and inflated confidence
5 matches
Mail list logo