# Interpretation of logistic regression, continue variable

##### New Member
Hi there,

In my study I look at the number of hospitalization (in the attachted file named 'aantalklinischeopnames') and the possibility to get a complication. The outcome of my binary logistic regression is attatched.
I don't know exactly how to interpretate this. There is a strong significance but the Exp(B) is negative. Does this mean that the less hospitalization you have, the lower the change that you get a complication? And if this is right, how do I say this in my results?

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#### hlsmith

##### Less is more. Stay pure. Stay poor.
Correct, for every prior hospitalization patients have a 0.719 times odds ratio for complication. However, it is up to you to understand your study context and whether or not you have some type of selection bias or confounding, if this is a paradoxical estimate.

#### Karabiner

##### TS Contributor
Does this mean that the less hospitalization you have, the lower the change that you get a complication? And if this is right, how do I say this in my results?
Provided that in the SPSS analysis the coding was complication=1 and no complicaion=0 .

With kind regards

Karabiner

##### New Member
Provided that in the SPSS analysis the coding was complication=1 and no complicaion=0 .

With kind regards

Karabiner
My coding is: complication = 1, no complication = 2.
Do I have to change this for my outcome?

##### New Member
Correct, for every prior hospitalization patients have a 0.719 times odds ratio for complication. However, it is up to you to understand your study context and whether or not you have some type of selection bias or confounding, if this is a paradoxical estimate.
Thanks. I always thought when the OR = <1.0, there is no significant connection. So is it right when I say: with every hospitalization the change you getting a complication increases with 0.719 times? Thanks in advance.

#### Karabiner

##### TS Contributor
My coding is: complication = 1, no complication = 2.
Do I have to change this for my outcome?
The software uses a 0/1 variable for a binary logistic regression analysis, 1/2 does not work.
Therefore, your 1/2 variable was recoded for the analysis by your software. You have to check your
output, whether for this logistic analysis the software has re-coded the outcome variable into
complication = 1 and no complication = 0, or into complication = 0 and no complication = 1.

With kind regards

Karabiner

##### New Member
The software uses a 0/1 variable for a binary logistic regression analysis, 1/2 does not work.
Therefore, your 1/2 variable was recoded for the analysis by your software. You have to check your
output, whether for this logistic analysis the software has re-coded the outcome variable into
complication = 1 and no complication = 0, or into complication = 0 and no complication = 1.

With kind regards

Karabiner
Thank you very much. I changed it en the outcome is much different, I attachted it. So now I can say: with every hospitalization the change of getting a complication increases with 1.4 times? Is that correct?

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#### Karabiner

##### TS Contributor
How should I know? The crucial part is missing again.
I do not know whether "1" is the code for "complication"
or for "no complication". Regarding the interpretation
of logistic regression coefficients and odds ratios (Exp(B)
is SPSS), please consult an approriate introductory book,
or website or the SPSS manual, if possible.

With kind regards

Karabiner

##### New Member
How should I know? The crucial part is missing again.
I do not know whether "1" is the code for "complication"
or for "no complication". Regarding the interpretation
of logistic regression coefficients and odds ratios (Exp(B)
is SPSS), please consult an approriate introductory book,
or website or the SPSS manual, if possible.

With kind regards

Karabiner
I'm sorry, I said I changed it and I assumed you would understand. I apologize. I changed it in: 0 = no complication, 1 = complication.