Displaying 1 result from an estimated 1 matches for "pathogen_type".
2010 Nov 02
2
multi-level cox ph with time-dependent covariates
...e
was reached (or outcome censored). Suppose that the pathogen can vary
over time (might be a bacteria that selects for drug-resistance) and
that also it can vary across different tissue reservoirs within the
same patient.
In other words: names(data) = patient_id, start_time, stop_time,
tissue_id, pathogen_type, marker1, ..., marker100, ..., outcome
If I had multiple observations per patient at different time
intervals, I would model it like this (hope it is correct)
model<-coxph(Surv(start_time,stop_time,outcome)~all_covariates+cluster(patient_id))
But now I have both the patient and the tissue, an...