A Note on Robust Variance Estimation for Cluster‐Correlated Data

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ID: 290403
2000
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Abstract
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.
Reference Key
openalex_W2150910069 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rachel Williams
Journal biometrics
Year 2000
DOI
10.1111/j.0006-341x.2000.00645.x
URL
https://doi.org/10.1111/j.0006-341x.2000.00645.x
Keywords Keywords not found

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