I have recently been using PRS scores for disease prediction, after calculating the PRS score using Ldpred, I found a problem that bothered me, that is, why almost all the literatures used logistic regression to construct the PRS prediction model with age and sex as covariates, instead of using machine learning methods such as SVM, random forest, decision tree and KNN etc? Who can give me some explanation? Thank you very much!
Thank you very much for your explanation! I have read carefully your another answer mentioned above. So now I only need to do is to find the factors that are most relevant to this disease and use logistic regression such as 'glm' to build a prediction model. Do I understand it correctly?
That is one way [of many ways] to do it - yes. Nobody can really say, when commencing, which method will prove 'best'.
Thank you for your reply. I will start to try different methods.