# logisitic regression

1. ### Should I include year effects in my logistic regression?

I made the following logistic regression model for my master's thesis. FAIL= LATE + SIZE + AGE + EQUITY + PROF + SOLV + LIQ + IND. Where I take a look if late filing of financial statements (independent variable) is an indicator of failure of small companies (dependent variable). FAIL is a dummy...
2. ### Analysing 2-factor 2-level design as if it were 4 different treatment design

Hello! Just curious why we see different results in such cases. Here we have a classic 2-factor 2-level factorial design which we can analyze using Nominal regression/logistic regression. Analysis shows that only interaction is significant : However, if we transform this data as if there...
3. ### Which Regression Model should I Use

Hello, I have a data set of students and I need to fit a regression model to predict the probability of a student will graduate college with a GPA => 3.4 or lower. I will be using age, gender, race and high-school GPA as my explanatory variables. Do I need a logistic or linear regression and...
4. ### What are the downfalls of selecting most parsimonious model using AIC?

Hi all, I am rather new to statistics, but I am reviewing a paper that applies the most parsimonious model for logistic regression using Akaike’s Information Criterion. It is a clinical study in ~200 patients and covariates assessed are mostly categorical variables. Results are opposite of...
5. ### Logistic regression vs. cox proportional hazards model-which model to choose?

I want to understand which model to choose for my task and advantage/disadvantage of each model. Basically, I am working on longitudinal patients data. I want to build a model to understand the factors associated with patient rehospitalisation within two years from the day they have been...
6. ### Adequacy of logit model with oversampled data

I fitted a binary logit model with unbalanced data which were oversampled using SMOTE. This gave an excellent ROC curve but very poor adequacy - the zero hypothesis of adequacy was rejected by Hosmer-Lemeshow test and le Cessie – van Houwelingen – Copas – Hosmer unweighted sum of squares test...
7. ### The same SPSS models give DIFFERENT results

This absolutely baffles my mind, so I hope you can help me out. I'm doing statistical analyses in SPSS with logistic regression models. I do crude analyses with a single dependent ("A") and a single independent ("B"). Moreover, I do adjusted analyses with a number of additional variables ("X")...
8. ### Logit Model_Predictive Regression

I want to know your mind about one point related to logit regression model. I am using logit model for my analyzing. My key independent variable is the lagged; hence, it is predictive regression. So, my dependent variable is 0 and 1. These 0 and 1 is related to the time of the day. To make it...
9. ### Interpret GLM model in test of difference in proportions

I'm facing the following situation: We conducted a marketing campaign with three groups: 2 test vs 1 of control, where two different type of coupons sent to the two test groups, 3 euros vs. 6 euros. I understand that the best way to test the difference in proportion is a GLM model with binomial...
10. ### Forward selection of non significant variables

Hi, In SAS Enterprise Miner, I trained a logistic regression with forward selection and AIC criteria. I grouped rare levels for categorical variables. One of these variables was selected by the algorithm but the coefficients of all categories were statistically not significant (different...
11. ### Multinomial logistic regression

Hi, I'm quite new to R and I need a little advise on whether multinomial logistic regression is right for what I'm hoping to do for my data. Basically, I've been given some camera trap data to work with. The data is non-normal and consists of 25 species documented over 30 different trap...
12. ### Pooled estimate of logistic regression with complex weights

Hello world, I apologize for not being smarter but here is my question with a bit of a background. I used a multiple imputation method to fill in missing data for a binary outcome that came from survey data. Unfortunately, I found that SPSS does not necessarily come up with a pooled estimate...
13. ### Help interpreting an interaction in Binary Logistic Regression

Firstly, thank you for taking the time to read my problem that I am having. The goal: interpret the direction of the interaction term. Variables: I have two continuous predictors (heart rate [HR] and pupil dilatation [PD]), predicting a dichotomous outcome (diagnosis of conduct disorder -...
14. ### test of logistic regression constant

Hello, everyone! I wonder whether anyone knows how can i intepret a coefficient of constant in logistic regression. I have used "logistic" in stata, so i got oddsratios. My constant is eqiual .0441026** Please help ! i googled it , but did not find anything.
15. ### Logistic regression - how do I interpret Odds ratio & how do I explain a very high OR

Hello, As part of my doctoral thesis I have completed a logistic regression to assess the impact of some parenting variables on recovery from a diagnosis. I have so far used teaching notes, a variety of text books and the internet to help me analyse the results. I am a clinician foremost and...
16. ### Logistic Regression interpretation help

Hello I'm working on a project and had some debates with my colleagues on logistic regression model. Hope someone here can clarify for us. Let's say this is the model we built: f(x)=a+b1x1+b2X2+e, X1 is awareness of our product, an indicator variable. X2 is number of inquiries, a continuous...
17. ### Relationship Test of Paired Data with one variable ordinal, other binomial

I want to find relationship between a "priority value" and "billable status." The priority value is a numeric value that is an integer in the set of real numbers (can be negative, zero, or positive) The billable status is basically a binomial: either billable or nonbillable. The null...
18. ### Conditional logistic regression, multiple testing.

Hi everyone! I have 10 exposure variables that i would like to analyze univariate. I've applied the conditional logistic regression model to each exposure, univariate, in the program R. I then applied the summary function to each model to get the test statistic, confidence interval and...
19. ### Relative bias of estimates of multilevel logistic regression models

The post is little bit lengthy , but it will give you thorough information and you can run the code easily . Trust me , I believe the answer is really very basic and not lengthy at all . I want to calculate relative bias of estimates of multilevel logistic model with one explanatory...
20. ### Penalized quasi-likelihood

Can anybody explain me why the function glmmPQL(.) in R behaves in different ways, depending on the number of measurements/individuals you use? To show you this, I generated two examples. The first one includes 20 indivduals with each 100 repeated measurements (binary response), the...