Properties of Analysis Methods That Account for Clustering in Volume-Outcome Studies When the Primary Predictor Is Cluster Size. Panageas, K. S., Schrag, D., Localio, A. R., Venkatraman, E. S., & Begg, C. B. Stat Med, 26:2017-2035, 2007. bibtex @article{pan07pro,
title = {Properties of Analysis Methods That Account for Clustering in Volume-Outcome Studies When the Primary Predictor Is Cluster Size},
volume = {26},
journal = {Stat Med},
author = {Panageas, Katherine S. and Schrag, Deborah and Localio, A. Russell and Venkatraman, E. S. and Begg, Colin B.},
year = {2007},
keywords = {outcomes-research,health-services-research,cluster-weighted-gee,hsr,informative-clustering,non-ignorable-cluster-size,volume-outcome-studies},
pages = {2017-2035},
citeulike-article-id = {13265567},
posted-at = {2014-07-14 14:09:59},
priority = {0}
}
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