logistic regression Definition and 11 Threads

  1. T

    Logistic Regression and utility function

    I thought that the expected utility is simply the utility of an outcome multiplied by the probability of that outcome. I thought about the following: set $$p:=\Pr(Z=1 | X=x) = \frac {e^{(x-\mu)e^{-\gamma}}}{1+e^{(x-\mu)e^{-\gamma}}}$$ and then...
  2. N

    A Non-significant variables in a logistic regression model

    If some variables of a logistic regression models are non significant, should they be considered for a risk index calculation? Should the logistic model include only relevant variables? Thanks for the attention.
  3. W

    I Sharp Turn in Logistic Regression

    Hi I am trying to remember the name of the situation in logistic regression when all data points beyond a fixed one are all successes or all fails. So we have data points## ( a_{i1}, a_{i2},.., a_{in} , 0/1) ##, with data points ##a_{ij}##ordered; last input a Boolean and a fixed value for j...
  4. E

    I Logistic Regression: Estimating Probability of Survival

    I have a simple dataset that consists of one predictor Sex and one response variable Survived. Let's say the estimated coefficients are ##\hat{\beta_0}## and ##\hat{\beta_1}## for the intercept and the coefficient of Sex predictor, respectively. Mathematically this means that: \hat{p}(X) =...
  5. Ma Xie Er

    A Logistic Regression Interpretation

    I was trying to find an easy interpretation of the predicted probabilities of a logistic regression model, when one of my coworkers claimed that the logistic regression model is a likelihood. Now, I know that maximum likelihood estimation is used to estimate the parameters, but I didn't think...
  6. W

    A "Many-to-One" Mapping of Variables in Logistic Regression

    Hi all, I have logistically- regressed 3 different numerical variables ,v1,v2,v3 separately against the same variable w . All variables have the same type of S-curve (meaning, in this case, that probabilities increase as vi ; i=1,2,3 increases ). Is there a way of somehow joining the three...
  7. W

    I Are there Issues with Separation of Values in Ordinal Logistic Regression

    Hi all , just curious if someone knows of any issues of Separation of Points in Ordinal 3-valued Logistic Regression. I think I have an idea of why there are issues with separation in binary Logistic -- the need for the S-curve to go to 0 quickly makes the Bo term go to infinity. Are there...
  8. L

    I Can I get thresholds from logistic regression coefficients?

    Hello, I remember an example of application of the logistic regression to medicine / epidemiology, which said (more or less) that the probability of a person having miocardial infarction was related to some variables such as age, cholesterol level, etc, and the equation included the various...
  9. M

    Logistic Regression Research: 97% Concordance, No Sig Variables

    I am doing an independent research project and I have written a logistic regression program in SAS. The percent concordance is 97%, but hardly any variables are significant. Can anyone help me understand why this would happen?
  10. M

    Logistic Regression Research: 99% Concordance, Few Significance

    I am doing some research and running a SAS program using logistic regression. The concordance is 99%, but hardly any variables are significant. Can anyone help me understand what this means?
  11. L

    Need advice applying a logistic regression to model school data

    To determine whether schools are increasing the amount of students meeting or exceeding standards, I obtained a MEAP database reporting the amount of students that scored in the met or exceed standards range during years 2005-2009, for grades 3-5. I then graphed the data for using numbers...
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