Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany-Reference-Cited by-同舟云学术

Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany

Published:2015-06-08 Issue:5 Volume:57 Page:867-884
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Wang Zhu¹,Ma Shuangge²,Wang Ching-Yun³

Affiliation:

1. Department of Research; Connecticut Children's Medical Center, Department of Pediatrics, University of Connecticut School of Medicine; Hartford CT 06106 USA

2. Department of Biostatistics; School of Public Health, Yale University; New Haven CT 06520 USA

3. Division of Public Health Sciences; Fred Hutchinson Cancer Research Center; Seattle WA 98109 USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201400143/fullpdf

Reference25 articles.

1. Two-part regression models for longitudinal zero-inflated count data;Alfò;Canadian Journal of Statistics,2010

2. Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection;Breheny;The Annals of Applied Statistics,2011

3. New variable selection methods for zero-inflated count data with applications to the substance abuse field;Buu;Statistics in Medicine,2011

4. Demand for medical care by the elderly: a finite mixture approach;Deb;Journal of Applied Econometrics,1997

5. Variable selection via nonconcave penalized likelihood and its oracle properties;Fan;Journal of the American Statistical Association,2001

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