Tagged Questions
0
votes
1answer
102 views
How are the p-values of the GLM in R calculated?
I have been running some binomial logistic regressions in R on a data set and I realised that the p-values of the estimated coefficients are not computed based upon a Normal distribution. For e.g. I ...
4
votes
2answers
257 views
Likelihood-ratio test or z-test?
Consider the following two logistic regression models:
$$
\begin{aligned}
&\text{Model A: }&P(Y=1)&=\frac{\text{exp}\left(b_1+b_2X_2\right)}{1+\text{exp}\left(b_1+b_2X_2\right)} \\
...
2
votes
2answers
192 views
Logistic regression: big difference in predicted values and highly significant, but poor goodness of fit
I have a logistic regression model with a dichotomous response variable and predictors coded from $1$ to $10$ and from $0$ to $18$.
When I fit the model, I get these results:
...
0
votes
0answers
21 views
which interactions to include? [duplicate]
Possible Duplicate:
What terms should I include in a linear regression model?
In case of running a logistic regression, with multiple variables which result in strongly disagree to strongly ...
0
votes
0answers
272 views
Comparing logistic coefficients on different logit models?
I've developed a logit model to be applied to six different sets of cross-sectional data. All the models have same independent variables but the sample size is different for each model. What I'm ...
2
votes
1answer
360 views
Comparing logistic regressions
What is an appropriate way to test whether two logistic regressions are significantly different from one another?
Essentially, I have two similar logistic regressions made from two different sets of ...
4
votes
1answer
584 views
Test the significant differences between the coefficients obtained by logistic regression on two data sets.
So I run logistic regressions of same dependent variables and independent variables on two sets of data $S_1$ and $S_2$. I obtained two sets of coefficients $\beta_1$ and $\beta_2$. Now I suspect that ...
5
votes
3answers
768 views
Should a predictor, significant on its own but not with other predictors, be included in an overall multinomial logistic regression?
I constructed a model via multinominal logistic regression analysis. The final model contains three predictors. All predictors are significant when they are the only predictors. However, the ...
2
votes
3answers
364 views
Inference about the outcomes of two logistic regressions
I have run two separate logistic regressions and would like to assess which model fits the data better. Each model has 1 predictor.
Here's the output for both:
Model 1:
...
5
votes
3answers
482 views
Significance and credibility intervals for interaction term in logistic regression
I fitted a Bayesian logistic regression in WinBugs and it has an interaction term. Something like this:
$$\mathrm{Prob}(y_{i}=1) = \mathrm{logit}^{-1} (a + b_{1}*x_{i} + b_{2}*w_{i} + ...
4
votes
1answer
343 views
Interpreting significance of predictor vs significance of predictor coeffs in multinomial logistic regression
I have a multinomial logistic regression with dependent variable valued in {-1,0,1} (reference category is 0) and a number of continuous and discrete predictors. After running the regression a ...
