predictions

  1. M

    Leave-one-out error strictly decreasing when number of parameters is increased, when it should not be?

    People may or may not be able to help intuitively shed light on my problem. Maybe I haven't considered some aspects. I'm running a non-parametric (kernel) regularized least squares estimation on some binary training data to then predict probabilistic values for the non-training data. I have 9...
  2. J

    Predicted probabilities from logistic regression

    Hi, I have carried out logistic regression in STATA to adjust for several patient characteristic variables that are thought to affect my outcome. I used the predict function to get estimates of the predicted probability of a positive outcome for each patient. Ultimately I would like to get...
  3. S

    How to get the output using PROC MIXED for residual error to check for normality?

    I am using proc mixed for my analysis (RCBD), but don't know the SAS code for outputting the residual which I can use for checking normality. Can anyone help me with the SAS code? The code I'm using is: proc mixed data=A; class ID trt depth block; model LogNO3= trt| depth; random block...
  4. J

    use of linear predictions from ordered probit as right-hand side variables

    Hi all, Does anyone know if it is OK to use an ordered probit model to predict a latent variable, e.g. self-perceived health; and then use the linear predictions as a right-hand side variable in another ordered probit to predict a different latent variable, e.g. life satisfaction. The...
  5. O

    How to predict a model with multiple factors?

    Hi, My question is probably trivial but I cannot figure it out... I'm doing a glm with multiple continuous and categorical predictors. In R, the summary() gives the estimates of factors' levels as contrast to the intercept (right?). So, If I'm modelling, let's say, diet and sociality as...