A Note on Robust Variance Estimation for Cluster‐Correlated Data

A Note on Robust Variance Estimation for Cluster‐Correlated Data Summary. There is a simple robust variance estimator for cluster‐correlated data. While this estimator is well known, it is poorly documented, and its wide range of applicability is often not understood. The estimator is widely used in sample survey research, but the results in the sample survey literature are not easily applied because of complications due to unequal probability sampling. This brief note presents a general proof that the estimator is unbiased for cluster‐correlated data regardless of the setting. The result is not new, but a simple and general reference is not readily available. The use of the method will benefit from a general explanation of its wide applicability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrics Wiley

A Note on Robust Variance Estimation for Cluster‐Correlated Data

Biometrics, Volume 56 (2) – Jun 1, 2000

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Publisher
Wiley
Copyright
Copyright © 2000 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0006-341X
eISSN
1541-0420
D.O.I.
10.1111/j.0006-341X.2000.00645.x
Publisher site
See Article on Publisher Site

Abstract

Summary. There is a simple robust variance estimator for cluster‐correlated data. While this estimator is well known, it is poorly documented, and its wide range of applicability is often not understood. The estimator is widely used in sample survey research, but the results in the sample survey literature are not easily applied because of complications due to unequal probability sampling. This brief note presents a general proof that the estimator is unbiased for cluster‐correlated data regardless of the setting. The result is not new, but a simple and general reference is not readily available. The use of the method will benefit from a general explanation of its wide applicability.

Journal

BiometricsWiley

Published: Jun 1, 2000

References

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