Linear Mixed Effects Models under Inequality Constraints with Applications
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DOI: 10.1371/journal.pone.0084778
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References listed on IDEAS
- Peddada, Shyamal D. & Dinse, Gregg E. & Kissling, Grace E., 2007. "Incorporating Historical Control Data When Comparing Tumor Incidence Rates," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1212-1220, December.
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Cited by:
- Bogomolov, Marina & Davidov, Ori, 2019. "Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 20-27.
- Belmiro P. M. Duarte & Anthony C. Atkinson & Satya P. Singh & Marco S. Reis, 2023. "Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests," Statistical Papers, Springer, vol. 64(2), pages 587-615, April.
- Jelsema, Casey M. & Peddada, Shyamal D., 2016. "CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i01).
- Qing Yin & Xiaoshuang Xun & Shyamal D. Peddada & Jennifer J. Adibi, 2021. "Shape Detection Using Semi-Parametric Shape-Restricted Mixed Effects Regression Spline with Applications," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 65-85, May.
- Huang Lin & Shyamal Das Peddada, 2020. "Analysis of compositions of microbiomes with bias correction," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
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