Tagged Questions

0
votes
1answer
47 views

How can I interpret binary logistic table?

I´m beginner with SPSS and I have on problem on interpreting binary logistic results. So I have this table: Variables in the Equation ...
0
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2answers
125 views

Is there a simple rule for interpretation of Interactions (and their directions) in binary logistic regression? [duplicate]

I have a binary logistic regression with Y (a disease) and 5 independent variables (and some of their 2-sided interactions which did not cause multicollinearity). All of my single IVs significantly ...
0
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0answers
214 views

I'm not sure how to interpret my binary logistic regression output from SPSS

My dependant variable is diagnosis of cancer malignant being 0 and benign being 1. And my covariate is mean radius (of the tumour). I get this: ...
0
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1answer
698 views

How do I interpret logistic regression output for categorical variables when two categories are missing?

I am using binary logistic regression; the dependent variable is 1 or 0; the independent variables are two groups: the first group includes continuous variables (...
0
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0answers
162 views

Interpretation of ordinal logistic regression output from SAS

In the SAS output for ordinal logistic regression, how should "Assessment Score Rankings" and "Assessment Score Distribution" tables be interpreted?
0
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1answer
513 views

Interact categorical variables in GLM in R

I am trying to predict child nutrition (binary) using a set of variables. The two that I want to interact are maternal education (none, primary, middle, HS) and wealth quintile (1,2,3,4,5). Thus far ...
2
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1answer
422 views

Percent correctly predicted of logit model

Is there a standard way to report the percent correctly predicted when predicting a binary outcome? Using glm in r, the results are predicted probabilities. However, in order to make a comparison to ...
0
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1answer
250 views

How to interpret the odds ratio in a logistic regression with proportion as a response variable

I have a glm model for some data with a proportion as the outcome variable as follows: ...
4
votes
1answer
254 views

Fewer variables have higher R-squared value in logistic regression

I am testing out 3 modeling approaches for malnutrition in children. Theoretically, distal determinants (education,poverty) operate through proximal determinants (water, sanitation) in determining ...
7
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2answers
1k views

Exponentiated logistic regression coefficient different than odds ratio

As I understand it, the exponentiated beta value from a logistic regression is the odds ratio of that variable for the dependent variable of interest. However, the value does not match the manually ...
6
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1answer
612 views

Interpretation of simple predictions to odds ratios in logistic regression

I'm somewhat new to using logistic regression, and a bit confused by a discrepancy between my interpretations of the following values which I thought would be the same: exponentiated beta values ...
2
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2answers
2k views

Logistic regression with an log transformed variable, how to determine economic significance

I am using a logistic regression model with continuous independent variables and two log transformed size variables (total assets and total deposits). My question is how to interpret the results and ...
2
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2answers
622 views

Interpreting logistic regression

I need to perform a logistic regression to to see if a group of variables which are found to be significantly associated with an outcome (by univariate tests) have significant impact on the outcome ...
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3answers
6k views

How to interpret main effects when the interaction effect is not significant?

I ran a Generalized Linear Mixed Model in R and included an interaction effect between two predictors. The interaction was not significant, but the main effects (the two predictors) both were. Now ...
1
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1answer
210 views

How to interpret logistic regression with days of the week and months of the year as predictors together with continuous and binary predictors?

I am using logistic regression to predict electricity spike prices (price that exceeds a certain threshold). I directly use the following variables as my independent variables together: (a) ...
0
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0answers
62 views

Covariate present in a logistic regression model as a effect modifier, but not as main effect [duplicate]

Possible Duplicate: Including the interaction but not the main effects in a model I'm studying logistic regression now. And I have a question: Suppose I have a logistic regression model as ...
7
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1answer
2k views

What is the difference between generalized estimating equations and GLMM?

I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects ...
4
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1answer
2k views

How to interpret regression coefficients in logistic regression?

I have run the following logistic regression: glm(formula = DecisionasReceiver ~ L1 + L2 + L3, family = binomial("logit"), data = lue) where L1 L2 and L3 code ...
1
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1answer
154 views

Significant variable with no effect in logistic regression

In my logistic regression model, I have one independent variable that has a B value of 0, p = 0.006 and exp(B) = 1. Goodness-of-fit measures indicate that the model is acceptably "good". Intuitively, ...
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3answers
2k views

Doing logistic regression using R

I need to do a logistic regression using R on my data. My response variable (y) is survival at weaning (surv=0; did not ...
6
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1answer
3k views

Interpreting logistic regression output in R

I'm working on a multiple logistic regression in R using glm. The predictor variables are continuous and categorical. An extract of the summary of the model shows ...