# logistic regression

1. ### Logistic regression for factorial design: interaction and main effects of treatments

Hi, This is my first post here. I'm hoping to get some help/feedback for the following hypothetical problem: I have a factorial experimental design with 4 groups: (1) Controls, (2) Treatment A, (3) Treatment B, and (4) Both treatments A and B. A total of 100 patients were randomly allocated in...
2. ### Multiple logistic regression interpretation help

I'm looking at the association between one binary dependent variable, and several independent variables. I first did univariate analysis, and then put all variables with p<0.05 into a logistic regression model. My issue is this: a couple of the variables produced odds ratios <1 on regression...
3. ### Am I dealing with outliers, or something else (skewness of 106)?

So I have not exactly a homework problem, but I just discovered how fun statistic modelling is, and usually I use already clean datasets. However, I am dealing with a credit default dataset that a lecturer showed me as a challenge. I want to do a logistic regression, a random forest, and XGBoost...
4. ### help identifying name of statistic, logistic regression

Hello, This is probably a very basic question, but I'm wanting to identify the name of a statistic. A professor I consulted with had written out the formula for me (attached) and I had thought this was a z-score, but she said at some point that it's not, it's another kind of statistic. She is...
5. ### Interpretation of logistic regression, continue variable

Hi there, In my study I look at the number of hospitalization (in the attachted file named 'aantalklinischeopnames') and the possibility to get a complication. The outcome of my binary logistic regression is attatched. I don't know exactly how to interpretate this. There is a strong...
6. ### Multivariate analysis for Medicine Thesis

Hi, I am writing my thesis for medicine about postoperative complications of a disease (IBD). The dependent variable in this case is whether the patients had a post-operative complication or not (binary) within 30 days of their operation. The sample size for my study is n = 62. I have...
7. ### Interpreting Regression Coefficient in Logistic Regression

Hi there, One question about the interpretation of regressors and their coefficients in multiple regression models. Supposing that I have the following logistic regression Y = a + b1height + b2weight + e where y is either 1 = male or 0 = female h is height g is weight and I estimate my...
8. ### dummy variables in logistic regression

Hello everybody I have a logistic regression: The dependent variable is dichotomous and was measured in four different countries (A, B, C, D) There are several explanatory variables. One of them is the country where the dependent variable was measured. When I use the "country" as...
9. ### Logistic regression curve looks like linear regression

Hi, I performed a linear as well as a logistic regression analysis (both with Matlab) and plotted those. Now the logistic regression curve is very linear and can be described by the same function as the linear regression. I explain the linearity by the fact that it is only a very small fraction...
10. ### Logistic Regression, maybe?

Greeting and many thanks in advance I have been advised to use Logistic Regression to solve the scenario described below. Can anyone confirm that Logistic Regression is the correct statistical methodology? Or provide suggestions for a better methodology? Scenario A test has 20 questions Each...
11. ### Repeated measures to predict binary outcome

I would like to predict outcome of an event based on repeated measures. The problem is the following one: I have 100 patients with measures of a certain feature at different times, but all the patients do not have the same number of measures. The test data has been taken before knowing the...
12. ### Logistic Regression Summary

I recently finished a course titled Analysis of Categorical Data at my university. I decided to do some write-ups on courses that I finish so that I can recall the material that I had learned during the quarter. If anyone is interested in logistic regression, they can take a look: blog I'd...
13. ### Logistic Regression Forecasts are Over-estimated

Hi all, I have been trying to develop a logistic regression model which predicts future enrollment in part 2 of a required program sequence, based on characteristics displayed in part 1 of the sequence. Some people have missing data points and so some observations are dropped when building the...
14. ### Is it necessary to check for multicollinearity of explanatory variables in logistic regression?

Checking for multicollinearity of independent variables is necessary in linear regression since multicollinearity increases the standard error, which in turn affects t-stats and p-values. But in logistic regression, p-values are based on Khi2, therefore multicollinearity has no effect on the...
15. ### Logistic Regression Stata: ommitted due to collinearity ?? Help

Hi there, I'm an MSc student in Medical Entomology and I'm in the midst of analysing data for my final project write up. My project is assessing the efficacy of different insecticide treatments applied in experimental huts against malaria mosquitoes. Now my dependent variables are: mortality...
16. ### Logistic Regression vs survival analyses in large cohort studies

Hello, I was wondering if anyone could give me some advice regarding the right statistical approach for a large cohort. I have a large prospective cohort of ~1.5 million lines of data. It contains people who were assessed as being eligible for an intervention who either went on to have the...
17. ### Interpreting Mixed Effect Logistic Regressions with Interaction Effects

Hello, I need to interpret mixed effect logistic regressions, but I do not quite understand how I can go about doing this when an interaction effect is involved. My main aims involve determining whether metabolic syndrome is associated with decreased mental health-related QoL (low MCS) over...
18. ### Logistic Regression Models Without Main Effects?

Hi there, I am building logistic regression models measuring human behaviour, which consist of categorical variables: demographics, conditions, and interactions between the demographics and the condition variable. The big issue is that as per my theory tested I am not interested at all in the...
19. ### Logistic Regression: Estimate

TestTrans YTrans N TotalRRRR055104.7%50.0%131691005.7%31.0%Total3674
20. ### Should i use Multinomial Logistic Regression?

Hello to all. I have an x-ray evaluation of patients. Each patient was seen in the clinic at different time intervals (Days between xrays), not regular times. There are different rates of application to clinics for patients (at least 3, at most 10 or more times) X-rays were evaluated for a...