Combining multiple imputation and bootstrap in the analysis of cost‐effectiveness trial data
Jaap Brand; Stef van Buuren; Saskia le Cessie; Wilbert B. van den Hout · 2018 · Statistics in Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
In healthcare cost-effectiveness analysis, probability distributions are typically skewed and missing data are frequent. Bootstrap and multiple imputation are well-established resampling methods for handling skewed and missing data.…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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Metadata source: OpenAlex · DOI 10.1002/sim.7956