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A penalized likelihood approach for investigating gene–drug interactions in pharmacogenetic studies

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  • Megan L. Neely
  • Howard D. Bondell
  • Jung-Ying Tzeng

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  • Megan L. Neely & Howard D. Bondell & Jung-Ying Tzeng, 2015. "A penalized likelihood approach for investigating gene–drug interactions in pharmacogenetic studies," Biometrics, The International Biometric Society, vol. 71(2), pages 529-537, June.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:2:p:529-537
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    File URL: http://hdl.handle.net/10.1111/biom.12259
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    References listed on IDEAS

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    1. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    2. Yuhong Yang, 2005. "Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation," Biometrika, Biometrika Trust, vol. 92(4), pages 937-950, December.
    3. Chen, Yi-Hau & Chatterjee, Nilanjan & Carroll, Raymond J., 2009. "Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 220-233.
    4. Howard D. Bondell & Brian J. Reich, 2009. "Simultaneous Factor Selection and Collapsing Levels in ANOVA," Biometrics, The International Biometric Society, vol. 65(1), pages 169-177, March.
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