Comparison of clustering algorithms on generalized propensity score in observational studies: a simulation study

In observational studies, unbalanced observed covariates between treatment groups often cause biased inferences on the estimation of treatment effects. Recently, generalized propensity score (GPS) has been proposed to overcome this problem; however, a practical technique to apply the GPS is lacking....

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Bibliographic Details
Published in:	Journal of statistical computation and simulation Vol. 83; no. 12; pp. 2206 - 2218
Main Authors:	Tu, Chunhao, Jiao, Shuo, Koh, Woon Yuen
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01.12.2013 Taylor & Francis Ltd
Subjects:	Algorithms Cluster analysis Clustering Clusters Comparative analysis Computer simulation Fuzzy fuzzy c-means clustering algorithm Fuzzy logic Fuzzy set theory generalized propensity score k-means clustering algorithm model-based clustering algorithm observational studies partitioning around medoids algorithm Performance indices
ISSN:	0094-9655, 1563-5163
Online Access:	Get full text
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