Application of a data continuity prediction algorithm to an electronic health record-based pharmacoepidemiology study.

We found that a simple, portable algorithm to predict data continuity gave comparable performance to more complex methods. Use of the algorithm significantly impacted the results of an empirical study, with evidence of more valid results at higher levels of data continuity.