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

Chengcheng Hu, Victor Degruttola

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)750-762
Number of pages13
JournalBiostatistics
Volume12
Issue number4
DOIs
StatePublished - Oct 2011

Fingerprint

Recursive Partitioning
Mutation
efavirenz
Score Statistic
Clinical Trials
Correlate
Phase II Clinical Trials
Virus
Drugs
High-dimensional
Treatment Failure
Simulation Study
Testing
HIV
Range of data
Partitioning
Pharmaceutical Preparations

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

Cite this

Recursive partitioning of resistant mutations for longitudinal markers based on a U-type score. / Hu, Chengcheng; Degruttola, Victor.

In: Biostatistics, Vol. 12, No. 4, 10.2011, p. 750-762.

Research output: Contribution to journalArticle

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