Within‐cluster resampling

By Elaine B. Hoffman, Pranab Kumar Sen, Clarice R. Weinberg. 2001

259 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/31803c2678b05efec50953c55d5750967085ffb3

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. J. Neuhaus
2. Somnath Datta
3. Glen A. Satten
4. Charles E. McCulloch

In Genetics

1. J. Neuhaus
2. Somnath Datta
3. Glen A. Satten
4. Charles E. McCulloch

In Statistics and Probability

1. J. Neuhaus
2. Charles E. McCulloch
3. Somnath Datta
4. Glen A. Satten
5. Denise Draper
6. Walter W. Stroup
7. Eric P. Xing
8. Haohan Wang

Citations in the corpus

• Rank-Sum Tests for Clustered Data (2005, methodology): “…generously providing the genetic data analyzed in Section 3.2, and also gratefully acknowledge assistance from Gonçalo Abecasis. nature of the clustering, extending an idea for parameter estimation of Hoffman, Sen, and Weinberg (2001) and Williamson, Datta, and Satten (2003) to hypothesis testing.”
• Separating between‐ and within‐cluster covariate effects by using conditional and partitioning methods (2006, background): “Previous work (Hoffman et al., 2001; Williamson et al., 2003) has examined the effects of correlations between the response and the cluster size on marginal analyses of clustered data such as those based on generalized estimating equations.”