# logistic regression

1. ### SAS Logistic Regression - High Wald Chi square for a binary variable

I am working on an analytical task where I need to identify why a particular binary independent variable is having high Wald chi-square (approx. 10k) when compared to the other variables (approx in 100's) in the logistic regression model. Can I simply conclude by saying that the response...
2. ### Logistic Regression problems

Hello, I'm stuck with a - i think very basic - problem, but I'm not getting any further for weeks now, thats why I finally decided to ask. I have some data which represent damage done by game in fields. The damage was maped. If there where many small damages they were maped as one big...
3. ### Logistic regression with significant coefficient but .000 Exp(B)

I am getting an output for a binary logistic regression I can't quite figure out how to interpret. It is a 0/1 binary logit, with 10 numeric IVs. The scale of each IV is a percentage in the form of a two decimal number (ie .62) 4 of the IVs are significant at .05. So far so good. Three...
4. ### Sample size for ordinal logistic regression (or at least ordinal)

Sample size for ordinal logistic regression (or at least logistic regression) I am trying to determine the sample size I need for my dissertation and I have no clue where to begin. I have been unable to find a sample size calculator for ordinal logistic regression and was told by my chair to...
5. ### Logistic Regression -some expert advice !

Hi guys I've recently worked on a project involving Logistic Regression. Although I've managed to 'complete' the project, I'm unsure whether what I have done so far is correct and/or sufficient. It is a case of regular binary logistic regression. One dichotomous response variable and several...
6. ### How do I use non-linear continuous variables in a logistic regression?

Hey guys. I need a little help understanding how to use continuous variables in a logistic regression. Specifically, what if my continuous variable is non-linear? Take a look at this blog post...
7. ### Logistic regression with predictor variables with both categorical & actual values

I've got a data set with 40 variables with 30 variables each having certain observations that are coded (i.e. have values) from 1-6 describing certain situations and some values that provide real values for what each of those variables represent as well. i.e. the variables are partially...
8. ### Another, more difficult Cox Regression/Hazard Ratio interpretation question

So, for an assignment, we were given this data taken from the Stanford Heart Study from 1978 or so: I used equal signs because I thought dashes might be confusing. They haven no mathematical function in the following 'tables' The variables in question are: Age in years in reference to age 48...
9. ### 'Significant' product-term interaction but no significant simple main effect contrast

:wave: I'm conducting a conditional logistic regression to assess the association between a continuous predictor and a dichotomous outcome, adjusted for several covariates. I include product interaction terms between an exposure and a covariate in each of several models. In a few of these I...
10. ### Different p-values with different procedures

Fairly novice in statistics, so this will surely have a simple explanation. I ran bivariate analyses to check for normality of a series of variables and also to test the relationship of each with two outcome variables (one binary the other continuous). In the bivariate analyses (using either...
11. ### Interpreting d reference category of logistic regression SPSS & other output results

Hi there, could you kindly help me to understand what my reference category and regression equation resulsts are saying. I have run a multivariate logistic regression in SPSS v21 to examine the contributory effects of independent risk variables (IRV) (occupation, migration to rural...
12. ### Binary logistic regression with multiple imputed data: how to get pooled estimates?

Dear all, I have performed multiple imputation on my dataset using SPSS 20, giving me 10 different datasets. I have understood that you could easily perform logistic regression on these and that you would get the pooled estimates (saw some examples of this as well, but only with the enter...
13. ### [Statistica] logistic regression

Hi, I have been getting a bunch of errors with Statistica when trying to created a logistic regression model. I use the Generalized Linear/Non-linear tab then go to logit model. The problem I have is that after I load up my variables and try to make a forward stepwise model I get an...
14. ### Generalized mixed model question

I have version 21 of spss with advance statistics. I was trying to use the generalized mixed model function, but it's not showing up in my options. I called IBM who agreed I have the correct license to enable this function, but they could not tell me why it's not showing up in my software. Does...
15. ### A regression problem with optional treatment

I have an interesting problem here and really need your suggestion to analyze the data in a proper way. In 2012 we collected data about retention of the students from first semester to second semester along with some other variables. The retention variable is a binary type variable-...
16. ### Anything but Multinomial Logistic Regression

We have 5 mutation sites we are studing in 200 insect species. There are only 20 different mutation combinations among the 5 sites. Each mutation site has only two (only one has three) possible amino acid values. We also have 4 categorical variables that are environmental (geography...
17. ### cumulative odds ratios - additive or exponential?

I have run some regression models that examine the effect of variable X (a 15 point continuous scale) on Y (a binary variable - didn't perform/did perform a particular behaviour) using logistic regression. For the sake of this example, let’s say that the OR is 1.08. I can argue that for each...
18. ### Aggregating or Pooling Multinomial Logistic Regression Coefficients

I'm trying to recreate the MNL analysis like this paper or this one. In Excel I have a sheet with my choice column which contains the market share on each itinerary. Alternatively I also have the number of passengers on that itinerary that could be used instead as the choice variable. I then...
19. ### Logistic regression probabilities

Hi I have built a logistic regression model that predicts the response probability from a marketing campaign. The model ranks correctly (i.e. the lower scored customers take up the offer less often than higher scored customers), but the probabilities predicted by the model are never the same...
20. ### bootstrapping and predictive logistic model

Hello members. I don't have experience with programming in Stata, then, please, I need help with this: I am developing a predictive logistic model. The regression coefficients were selected using the stepwise method: . xi: sw, lr pe(.05 ) pr(.051) lockterm1: logistic depvar (var1...