Recursive partitioning of resistant mutations for longitudinal markers based on a U-type score

Chengcheng Hu, Victor Degruttola

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Development of human immunodeficiency virus resistance mutations is a major cause of failure of antiretroviral treatment. We develop a recursive partitioning method to correlate high-dimensional viral sequences with repeatedly measured outcomes. The splitting criterion of this procedure is based on a class of U-type score statistics. The proposed method is flexible enough to apply to a broad range of problems involving longitudinal outcomes. Simulation studies are performed to explore the finite-sample properties of the proposed method, which is also illustrated through analysis of data collected in 3 phase II clinical trials testing the antiretroviral drug efavirenz.

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Keywords

  • Antiretroviral drugs
  • Longitudinal data
  • Recursive partitioning
  • Repeated measurements
  • Resistance mutations
  • Tree method

ASJC Scopus subject areas

  • Medicine(all)
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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