Any progress on implementing ways to update age in a continuous time model? In my case I am modeling criminal justice trajectories, and the transition hazards vary over age bands (12-17 yo, 18-24 yo, etc.). Thus in my simulation I should have people transitioning between age bins, and therefore experiencing different hazards, as the time progresses. Can this be done now in hesim? I am thinking of something like this, but wanted to check if there have been any new functions that you've experimented with:
Update age and age category
for (i in seq_len(nrow(patients))) {
sojourn_time <- data[i, "Tstop"] - data[i, "Tstart"] # Calculate sojourn time
patients[i, "age"] <- patients[i, "age"] + sojourn_time
patients[i, "age_category"] <- cut(patients[i, "age"], breaks = age_categories, labels = FALSE, right = FALSE)
#Check if age has reached max_age
if (patients[i, "age"] >= max_age) {
break # Stop the simulation for this patient
}
}
Any progress on implementing ways to update age in a continuous time model? In my case I am modeling criminal justice trajectories, and the transition hazards vary over age bands (12-17 yo, 18-24 yo, etc.). Thus in my simulation I should have people transitioning between age bins, and therefore experiencing different hazards, as the time progresses. Can this be done now in hesim? I am thinking of something like this, but wanted to check if there have been any new functions that you've experimented with:
Update age and age category
for (i in seq_len(nrow(patients))) {
sojourn_time <- data[i, "Tstop"] - data[i, "Tstart"] # Calculate sojourn time
patients[i, "age"] <- patients[i, "age"] + sojourn_time
patients[i, "age_category"] <- cut(patients[i, "age"], breaks = age_categories, labels = FALSE, right = FALSE)
#Check if age has reached max_age
if (patients[i, "age"] >= max_age) {
break # Stop the simulation for this patient
}
}