Small Sample Correction for the Variance of GEE Estimators

By J. G. Morel, M. Bokossa, N. Neerchal. 2003

197 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d9f269a43a0d43c820e69008f30df1c33253d6fe

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. Daniel M. McNeish
2. Laura M. Stapleton
3. Milica Miočević
4. R. van de Schoot

In Statistics and Probability

1. Daniel M. McNeish
2. Laura M. Stapleton
3. Francis L. Huang
4. Milica Miočević
5. R. van de Schoot
6. Ji Seung Yang
7. M. Botha
8. D. Frost

Citations in the corpus

• Modeling Clustered Data with Very Few Clusters (2016, methodology): “In addition, the wide variation of statistical significance (or 0 not being in the credible interval for MCMC models) can be readily seen: MLMs identified four significant predictors at an alpha level of .05 whereas the Kauermann-Carroll correction,Mancl-DeRouen correction, andMorel-BokossaNeerchal ”