Bootstrap adjusted predictive classification for identification of subgroups with differential treatment effects under generalized linear models
Author:
Affiliation:
1. Department of Mathematics and Statistics, Queen’s University, Kingston, ON, K7L 3N6, Canada
2. Canadian Cancer Trials Group, Departments of Public Health Sciences & Mathematics and Statistics, Queen’s University, Kingston, ON, K7L 3N6, Canada
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference45 articles.
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3. ANDREWS, D. W. K. (2001). Testing when a parameter is on the boundary of the maintained hypothesis. Econometrica 69 683–734.
4. ANDREWS, D. W. and CHENG, X. (2012). Estimation and inference with weak, semi-strong, and strong identification. Econometrica 80 2153–2211.
5. ANDREWS, D. W. and GUGGENBERGER, P. (2010). Asymptotic size and a problem with subsampling and with the m out of n bootstrap. Econometric Theory 26 426–468.
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