Improving estimation efficiency for two-phase, outcome-dependent sampling studies
Author:
Affiliation:
1. Department of Biostatistics, School of Public Health, Yale University
2. Department of Biostatistics, School of Public Health, University of Michigan
3. Department of Statistics and Actuarial Science, University of Waterloo
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference42 articles.
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3. BARNETT, I. J., LEE, S. and LIN, X. (2013). Detecting rare variant effects using extreme phenotype sampling in sequencing association studies. Genetic Epidemiology 37 142–151.
4. BJØRNLAND, T., BYE, A., RYENG, E., WISLØFF, U. and LANGAAS, M. (2018). Powerful extreme phenotype sampling designs and score tests for genetic association studies. Statistics in Medicine 37 4234–4251.
5. BRESLOW, N. and CAIN, K. (1988). Logistic regression for two-stage case-control data. Biometrika 75 11–20.
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