confounding

  1. R

    Confounder confounds at only one level of polytomous variable

    Hello! I have looked for a post on this but have been unsuccessful. It would be great if you could help. I am using logistic regression in SAS. I have a polytomous variable, race, with 5 levels. When I add covariate A, the coefficient of only 1 level of race changes significantly (by 44%)...
  2. H

    Linear Regression: Disagreement in confounding with stratification

    Hi everyone, I am performing a simple linear regression testing whether an the results from an aptitude test for our sales force is associated with their profitability (binary variable profitable or not). The score variable is a percentile. I performed a simple logistic regression...
  3. A

    Directed acyclic graph

    Hello I'm a beginner at epidemiology and have an assignment where I'm trying to create a DAG using dagitty to determine what to adjust for when looking at wether country of birth has an effect on general health. Besides the exposure (COB) and the outcome (GH) I have the following variables...
  4. rogojel

    Interpretation of a one - way ANOVA

    hi, I am working through a designed experiments texbook and I would like to see if I got one exercise right. The story is about measuring the effect of baking powder on the height of biscuits. The exoerimental factor is the amount of soda with, say, 3 levels - let us call it low amount, medium...
  5. L

    Investigation outliers, could data mining be a solution?

    Hi everyone, This is my first post. :wave: I am currently working on a project to investigate the reason for why these providers are outliers on the dataset on a whole. I am finding it very tricky to find statistical methods that "investigate" outliers- as in show you why they are outliers...
  6. T

    Adjust for which confounders

    Hello! I have done a logistic regression to compare pregnancy rates amongst various ordinal categories of a specific blood hormone measurement. From the previous literature, I know that there are at least 5 potential confounding factors and I have data for all of these... When I look at...
  7. A

    Interaction and confounding in logistic regression

    Hope someone here can help me out with the following problem! I’m looking for explanatory factors for a certain dichotomous health outcome, the patient either has the disease or not. I have a set of about 12 possible factors. Now I want to select the factors that play role in the occurrence...