# logistic regression

1. ### Mixed-effects logistic regression model for a 10-step continuum

Hello, I am trying understand how to correctly build a mixed-effects logistic regression model in R. I believe my model is pretty simple and straight forward but I'm lacking in experience and uncertain I'm doing it correctly. Not being a statistician and struggling with stats, the specifics...
2. ### Inclusion of a control variable makes a predictor significant

I'm running a logistic regression model. The outcome is political activism (1/0) and the significant predictors (dummy variables) are education, income level and interest in politics. Age (quantitative) and Gender (1/0) are not significant. I want to see if use of certain Social Networking...
3. ### Multinomial Logistic Regression

I have run a multinomial logistic regression looking to see if being a member of two different groups predicts group membership to 5 categories. I have attached the output – I am not sure if it is a problem or not if the Goodness of Fit test as zero degrees of freedom and no significance values...
4. ### Pairwise logistic regression - which trait is the dependent trait?

Hi All, Could someone explain the reasoning behind choosing the dependent trait in pairwise logistic regression of two categorical traits. My hypothesis does not explicitly state which trait is the IV as I just need the relationship between traits. To word this another way, I dont understand...
5. ### Logistic regression vs GLMM

Hello, I'd like to ask you for help with a choice of correct model for my analysis. Here is the problem: 1.) I should find out whether the risk of stroke after 65 age depends on gender 2.) Find out whether the association of gender with stroke depends on age 3.) Can gender effect on stroke...
6. ### Modeling step by step in SAS

Can anyone guide me in building a credit score model in SAS from beginning to end? Like how to get started with it and how to proceed?
7. ### mixed predicator types for building logistic regression model

There has a data set, some predicator variables are of categorical types, such as X1={A, B,C}; X2={1, 2, 3}; and other predicator variables are of continuous types, such as X3 can be a real value between 0 and 100. If we want to build a logistic regression model based on these predicator...
8. ### Problem with Firth Logistic Regression

Hello all, I am having some issues trouble shooting a Firth Logistic regression model I have run on municipal level data. So, I have a dataset on all municipalities under analysis and I am looking at an event with low frequency (81), while the number of non-events is more than 2000. The...
9. ### Logistic regression, but no negative responses?

So I am trying to model who is likely, from a list of addresses, to go to a store. I have lots of criteria about the people who have visited my store, but no data about who DIDN'T visit my store. I know if I had a 1,0 variable (visited store or not) that I could do logistic regression, but I...
10. ### How to estimate quasi-elasticities from marginal effects of logistic regression?

HI everyone, I am new to this forum. I need some help regarding logistic regression analysis. I am using logistic regression for my research. I calculated marginal effects of logistic regression by using R software. Now I want to estimate quasi-elasticities for logistic estimates. Does anybody...
11. ### Testing multiple interaction variables in logistic regression

Hi everyone, For a study that I'm currently conducting I want to know the effect of some of my variables on other variables, which I think should be done by creating interaction variables. However, I'm not sure how I should test for an effect of variable A on a number of other variables...
12. ### Logistic regression: trouble finding out which variables are significant

Hi, I'm using logistic regression to analyse a dataset on managerial decision making. Managers have made decisions to fire 2 employees out of a group of 8 from a fictional company used in the research setup. This data is coded binominally (0=chosen to retain, 1 = fired). To find out what...
13. ### How to interpret residual plot of a logistic regression？

Hi all, I'm working on a default probability model and was modeling the default probability using logistic regression. The pearson residual and deviance residual plots are attached. Can anyone give me some idea about how to interpret these two plots? Do these plots indicate...
14. ### Logistic Regression Problem

Hi! My collegue is developing a logistic regression to predict the probability of a customer taking up a particular credit card. Let's call the credit card the gold card, so his dependent variable on the left side is GoldCard = 0,1. On the right side of his equation he is also including a...
15. ### Interpreting Binary Logistic Regression

Hi, This is my first time on this forum so I don't really know how this works. For this reason I will try to explain my problem as extensive as possible. I am researching the innovativeness of different firm sizes. Beforehand I expected that their would be a positve relation between firm...
16. ### Logistic Regression Model Assessment

I have run logistic regression on data. The concordant percentage is coming out 45. That is too low. However, Hosmer–Lemeshow test is coming out insignificant. It means we cannot reject the null hypothesis stating model fits the data well. That's good! The ctable also shows 70% of the data...
17. ### Logistic Regression : Model Validation

I am validating a logistic regression model. This is the first time i am validating a model. I am using split sampling method. I have split data randomly into two parts - 70% development and 30% validation data sets (70:30). Then i run logistic regression on development data set using SAS and...
18. ### Have population, use inferential stats? Non-normal dependent variable, what to do?

Statistics people! I have two questions for you. I am NOT a statistician so please be nice and answer simply :) Background: We are looking at parental leave in Iceland. We are particularly interested in whether the economic crisis and the resulting changes in parental leave legislation...
19. ### Predictive Model : Data Type

Hi Stats Gurus, I am working on a model that predicts gestation period of new hires. By gestation period, i mean the period between they completed their trainings and the time they start working on their first real live project. I have data for gestation period in months. I classified the...
20. ### Curvilinearity test in logistic regression

Hello there, as a statistics beginner, I have replicated a logistic regression Model for violent conflict spillover and added new variables that I found interesting. One of them (Voice and Accountability, VAA) is related to the regime type of a country, which is usually suspected to have a...