Haplotype-based pharmacogenetic analysis for longitudinal quantitative traits in the presence of dropout

Jung Ying Tzeng, Wenbin Lu, Mark W. Farmen, Youfang Liu, Patrick F. Sullivan

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

We propose a variety of methods based on the generalized estimation equations to address the issues encountered in haplotype-based pharmacogenetic analysis, including analysis of longitudinal data with outcome-dependent dropouts, and evaluation of the high-dimensional haplotype and haplotype-drug interaction effects in an overall manner. We use the inverse probability weights to handle the outcome-dependent dropouts under the missing-at-random assumption, and incorporate the weighted L1 penalty to select important main and interaction effects with high dimensionality. The proposed methods are easy to implement, computationally efficient, and provide an optimal balance between false positives and false negatives in detecting genetic effects.

原文English
頁(從 - 到)334-350
頁數17
期刊Journal of Biopharmaceutical Statistics
20
發行號2
DOIs
出版狀態Published - 2010 3月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 藥理
  • 藥學(醫學)

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