Analysis of cost data in randomized trials: an application of the non-parametric bootstrap.

By J. Barber, S. Thompson. Statistics in Medicine, 2000

730 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/83dcf95db3229011fd37a8e9924608e15bb20e56

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Briggs
2. Anthony OʼHagan
3. B. Mihaylova
4. S. Thompson
5. Aaron J. Boulton
6. Anne Williford

In Statistics and Probability

1. Anthony OʼHagan
2. A. Briggs
3. B. Mihaylova
4. S. Thompson
5. Paul T. von Hippel
6. Karen E. Willcox
7. Julian P. T. Higgins
8. Luigi Cavaleri

Citations in the corpus

• Estimates and Patterns of Direct Health Care Expenditures Among Individuals With Back Pain in the United States (2004, result): “Some studies recommended against using untransformed data,(15,16) whereas others suggested that models based on untransformed data actually performed better than models based on transformed data.(17,18) Second, the sample involved in our study was not small.”
• Review of Statistical Methods for Analysing Healthcare Resources and Costs (2010, methodology): “Adjusted bootstrap approaches to account for skewness (Barber and Thompson, 2000) and to approximate the pivotal statistic (Tu and Zhou, 2000) are also suggested.”