Variance as a predictor of health outcomes: Subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and postmenopausal women
Author:
Affiliation:
1. Department of Biostatistics, University of Michigan
2. Department of Epidemiology, University of Michigan
Publisher
Institute of Mathematical Statistics
Reference54 articles.
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5. CARROLL, R. J., RUPPERT, D., STEFANSKI, L. A. and CRAINICEANU, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective, 2nd ed. Monographs on Statistics and Applied Probability 105. CRC Press/CRC, Boca Raton, FL.
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