(Total stats novice)
I have 8 predictor variables with only 2 levels each (denoting the presence/ non-presence for each data point) and a continuous outcome variable. Logistic regression obviously does not work because of the nature of my predictor variables.
What can I use to model this?
Vignette: I am researching the predictors of severe blood loss during liver surgery for cancer. The liver is anatomically divided into 8 segments. During surgery, different segments are removed depending on the location of cancer.
Modelling "the number of segments removed" is not a problem.
But I want to model the predictive effect of each of the different segments being removed. However, this means that for each surgery a segment is either "removed" or "not removed" - which means these variables only have 2 levels.
What can I use??