“…However, it is more difficult to incorporate the longitudinal history prior to
into the prediction (in contrast, this is done automatically in JM without extra work). Predictive features of the history usually need to be pre‐specified, such as slope of a longitudinal predictor,
16 functional principal component analysis scores,
17 or volatility in a period prior to
18 . The calculation of these features can be affected by irregularly spaced clinical encounters, sparse data, and measurement errors
19 .…”