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First of all, thank you for the excellent implementation of survival analysis in REGENIE! I have three questions:
Is there any plan to add left-truncation to the REGENIE survival analyses? Currently, this is apparently only addressed by BayesW.
Is there any plan to include competing risks (e.g., Fine-Gray)? I understand that this poses a significant computational burden, but there are faster implementations of subdistribution hazard models available, such as fastcmprsk, here or here.
What about more complicated scenarios such as time-to-event (TTE), when patients are followed up after a diagnosis to the event (which is more related to question 1), as opposed to age-at-onset (AAO), which seems to be case covered so far by most tools.
Best/Oveis
The text was updated successfully, but these errors were encountered:
Hi Joelle,
First of all, thank you for the excellent implementation of survival analysis in REGENIE! I have three questions:
Is there any plan to add left-truncation to the REGENIE survival analyses? Currently, this is apparently only addressed by BayesW.
Is there any plan to include competing risks (e.g., Fine-Gray)? I understand that this poses a significant computational burden, but there are faster implementations of subdistribution hazard models available, such as fastcmprsk, here or here.
What about more complicated scenarios such as
time-to-event (TTE)
, when patients are followed up after a diagnosis to the event (which is more related to question 1), as opposed toage-at-onset (AAO)
, which seems to be case covered so far by most tools.Best/Oveis
The text was updated successfully, but these errors were encountered: