logit

Hi I am trying to learn about regressions with binary as the dependent variable. I have tried to figure out something but has gotten a little bit lost in my interpretation. Would someone please check if this is correct? With Probit and Logit Models, we only interpret the coefficients as...

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...

So, my doubt is simple, I ran this model: glm(formula = pregnancy ~ Bull*SEMEN, family = binomial(),data = dt) Just 2 bulls (a and b) and 2 semen (s and c) related to pregnancy. And I obtained these results: Deviance Residuals: Min 1Q Median 3Q Max -1.2377...

Hi, I'm doing a logistic regression analysis with a binomial outcome variable (Yes / No). My main predictor variable is categorical and has 3 levels. I'm also including categorical and continuous confounding variables as predictors. What is the best way to convert my outcome variable from...

We ran a logistic regression model with Passing the certification exam (0 or 1) as an outcome. We found that one of the strongest predictors is the student's program GPA, the highest the program GPA, the highest the odds of passing the certification exam. Standardized GPA: p-value < .0001, B...

Hi dear all My logistic model's dependent variable is cost/benefit ratio of an investment. It takes value ''1'' if c/b ratio>=1 and ''0'' if ratio<1. independents are REGION (takes value ''1'' if investment includes one region, and ''0'' if two or more regions), TYPE (''1'' if its new...

I'm asking for advice. Topic of my research is brain iron accumulation. My task is the next . I have one dependent variable that is cathegorical and binominal(patient has the pathology or does not). And six independent variables that are continuous and nonpatametric. The question is :how can i...

I have a data set of two groups of individuals that I want to compare. The data contains who survived and who didn't after 40 days and after 1 year. So this is not a numerical data but a kind of 0/1 data. What is the test I should use and what R function is suitable? Thank you very much, Roy.

Greetings, I have had difficulties plotting results from GLM logit models to show up as odds ratios on a log scale. Ultimately I want to obtain estimates from different models and plot the results on one graph as shown here (https://www.ctspedia.org/do/view/CTSpedia/ClinAEGraph001). Do you...

Hello all, first thread so please be kind! I have rudimentary statistics knowledge of anovas and regression but am piling through how-to videos of GLMs to no particular avail regarding the comparisons I want to make. I am analysing a simple bioassay experiment with nematodes, whereby I exposed...

I am a finance student and have been playing around in R the past couple of weeks (Rookie here..). QUESTION: I have two numeric variables: A and B. And I want turn these in one cathegorical variable C. C takes the following values: 1 if A and B both score top decile – or quintile of the...

In a simple model, x is a continuous (normally distributed) variable predicting y. Since y values are proportions ranging from 0 to 1 (0%-100%), simple linear regression may give out-of-bounds estimates for some predicted values (i.e., lower than 1 or higher than 1). Therefore, I have decided...

For a research project in economics, I want to study the several determinants that affect the decision to enter the private rental housing market in the United States. There is a special focus on taxation. In the analysis, I am using unbalenced (survey) panel-data from the PSID (Panel Study...

Hello everyone I am currently performing a logit regression in SPSS. I am faced with problems when testing the linearity assumption using the Box-Tidwell approach. I have 10 continuous variables and for each of them I have computed their Natural Logarithm. For testing the assumption, I...

So there has been a movement back toward linear probability models in cases in which multi-group comparisons are of focal interest. The rational for this is that cross-group comparisons of parameter estimates get shaky in probit and logit models requiring a bunch of finessing to get right...

Please, help bring in some lucidity and fill in any possible gaps in my reasoning. The research assessed the participants' recall of a narrative story. One day after the presentation of the narrative, the participants were given the memory test. Their answers to some of the questions are then...

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...

Dear community experts, I've faced an interesting situation, which is out of my area of expertise, so I need an advice here from someone more experienced in the field. The problem is following. Suppose, we have a binary logit model. Let's call it old model. The model is estimated over a...

Suppose I wish to estimate a logit model to predict Large losses when trading stocks, well I might say y_t = 1 if that trade was a large loss. But when I would then try to estimate a model to predict these large losses I would essentially just be modelling which stocks are most volatile. Ie. I...

Suppose i have some logit model with, say, 7 explanatory variables and i wish to add another variable, x8. x8 is in the interval [1,5] and i would suspect that low values have a negative effect on the probability of y=1 while a higher value would tend to indicate a higher probability of y=1...