logistic regression

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    LOGISTIC REGRESSION ASSUMPTIONS - linearity for categorical IV's

    Hi! I am going through the assumption for a logistic regression but I am stuck on making sure the 'IV is linearly related to the log odds'. My DV is dichotomous and all of my IV's are categorical (some binary, others with multiple groups). I am struggling to test this assumption on my data as...
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    Test effect of Zs on Y while X constant

    Hi, I have a very general (and slightly weird) question on assessing moderating/interaction effects. Here's the deal: I have a research question that focuses primarily on the effect of explanatory X on outcome Y, with a number of moderator variables Z that - so the hypotheses - influence X's...
  3. J

    Question on Logistic Regression

    Why do they call it logistic regression when the inverse of the Logit is what is modelled? or am I wrong? The inverse logit creates the sigmoidal curve where y max is 1 and y min is 0 and x can be from negative to positive infinity. I feel stupid for asking this. I believe I have it wrong...
  4. M

    Multivariate regression versus multivariable regression

    I am doing research to predict if alcoholism is an independent risk factor for bleeding after surgery. I will perform a univariate analysis with a chi squared test to know if other factors, such as age, sex, comorbidities,... are associated with an increased risk for postoperative bleeding...
  5. K

    Standardizing coefficients of Logistic Regression Model

    While I'm trying to interpret and use coefficients of Logistic Regression Model, there are two set of problems that I'm facing Standardizing and bringing to a common scale, all the coefficients? Handling both negative and positive coefficients even after standardization? To explain with an...
  6. S

    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...
  7. K

    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...
  8. A

    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...
  9. A

    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...
  10. A

    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...
  11. M

    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...
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    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...
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    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...
  14. P

    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...
  15. S

    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...
  16. M

    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...
  17. Y

    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...
  18. T

    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...
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    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...
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    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...