logistic regression

  1. K

    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?
  2. W

    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...
  3. S

    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...
  4. B

    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...
  5. A

    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...
  6. M

    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...
  7. M

    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...
  8. sufeipopo

    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...
  9. R

    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...
  10. M

    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...
  11. R

    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...
  12. R

    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...
  13. A

    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...
  14. R

    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...
  15. H

    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...
  16. A

    Logistic regression- categories

    I am very new into Spss and spent a few hours to understand logistic regression. :shakehead I could not understand the relationship between 0 referance catogory and 1 valued category in logistic regression. For example, If dependent variable is school happiness ( 0 for yes 1 for no)...
  17. S

    Help with variable selection in logistic regression using a small dataset

    Hello. I have a relatively small data-set looking at a binary outcome of death after a medical procedure. There are 102 patients total in the data-set, and 26 deaths. I am interested in looking at correlates of death. I first calculated univariate odds ratios, and have a list of 11...
  18. M

    Cox PH regression on fixed-interval (1, 2, 5-year) survival

    Dear all, I am co-author on a manuscript on a study which follows a group of patients from a certain diagnosis and studies risk factors for survival. The main author has chosen to analyze fixed-interval survival rates (1, 2 and 5-year survival) and to compare the rates between two groups of...
  19. M

    Alternatives for logistic regression?

    Hey everyone! I need some help because I am not really happy with the data analysis for my thesis. I am investigating the prognostic power of 3 quantitative and 2 qualitative variable on a dichotomous outcome. First off I wanted to know which set of variables is the best to predict the...
  20. M

    Logistic regression: dummy variables not significant, what next?

    Hi, I'm running a logistic regression to try a predict landslides in SPSS using a categorical variable (vegetation type) with 6 possible values. In the results, the variable as a whole is significant although a couple of the dummy variables have p-values > 0.05 and thus are not significant...