The analysis of incomplete cost data due to dropout.

  title={The analysis of incomplete cost data due to dropout.},
  author={Jan B. Oostenbrink and Maiwenn J. Al},
  journal={Health economics},
  volume={14 8},
Incomplete data due to premature withdrawal (dropout) constitute a serious problem in prospective economic evaluations that has received only little attention to date. The aim of this simulation study was to investigate how standard methods for dealing with incomplete data perform when applied to cost data with various distributions and various types of dropout. Selected methods included the product-limit estimator of Lin et al. the expectation maximisation (EM-) algorithm, several types of… CONTINUE READING

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