Risk prediction equation for disease based on concentrations of circulating proteins

Risk prediction equation for disease based on concentrations of circulating proteins

I want to derive a risk prediction equation for disease D based on Pa and Pb, where Pa and Pb are concentrations of circulating proteins in the blood. Can I still model this using the below or is this invalid given that Pa and Pb are not consistently related to disease D (i.e. it depends on the subtype)? $\begingroup$ Thanks. The problem is that not all people with high levels of Pa and / or Pb have disease D. I want to use regression with Pa and Pb as well as other predictors of the disease (smoking, body mass index, age etc.) to be able to more accurately predict an individuals risk of disease D. $\endgroup$ – John yesterday $\begingroup$ Regressing in the same equation implies the diseases are indistinguishable for your approach. You can consider a multinomial logistic regression if you want to model absence of disease or presence of disease A orpresence of disease B. $\endgroup$ – Todd D yesterday By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.



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