logit

  1. T

    Logistic regression in Stata with binomial dependent variable 3-level categorical predictor variable

    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...
  2. W

    Odds Ratio to Probability of Success

    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...
  3. L

    logit model without constant: ''no convergence''?

    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...
  4. M

    Nonparametric data analysis

    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...
  5. R

    What is the suitable function for survival data?

    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.
  6. L

    Odds ratio plot on log scale

    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...
  7. R

    How to take into account different treatments, doses and starting health

    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...
  8. S

    [R] Changing 2 Numeric Variables to 1 Categorical Variable in R?

    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...
  9. Martin Marko

    Beta Regression Coefficients

    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...
  10. T

    Some basic questions about a econometric analysis of paneldata

    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...
  11. C

    Box-Tidwell problems in SPSS (Logit Regression)

    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...
  12. Lazar

    Linear Probability Models and Complex Survey Data

    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...
  13. B

    Help with the level of measurement for correct/incorrect answers

    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...
  14. M

    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...
  15. D

    What is the proper name for such kind of regression models - 2-stage or 2-step?

    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...
  16. T

    Can we have a Logit that punishes some missclassifications more harhsly than others ?

    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...
  17. T

    Can there be an advantage to rescaling covariates in a Logit model ?

    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...
  18. R

    Help in determining a proper statistical test an approach for research question

    Ik have a problem in determining the right statistical test for my research. First I will give some background information. I want to research the impact of IFRS(regulatory change) on audit fees(fees payed to external auditors). This change was mandatory in the year 2005. I will use several...
  19. S

    Is this logit model a multilevel model, and what is the correct way to model it?

    I am analyzing a sample of about 6000 actions carried out by about 500 multinational companies in about 80 countries during a 6 year period. Actions are carried out randomly, and are not longitudinal measurements for the same multinational over time. The actions can be of two types (A or B). My...
  20. A

    Binomial response variable with 3 continuous and 1 categorical predictor. Best test?

    Hello I have a binomial response variable. Predictors are composed of 3 continuous variables (the results of a Principle Components Analysis of habitat structure variables) and 1 categorical variable (habitat type e.g. grazed or ungrazed). I want to test whether the 3 habitat variables have...