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 language | English (US) |
|---|---|
| Pages (from-to) | 750-762 |
| Number of pages | 13 |
| Journal | Biostatistics |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 2011 |
Keywords
- Antiretroviral drugs
- Longitudinal data
- Recursive partitioning
- Repeated measurements
- Resistance mutations
- Tree method
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
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Hu, C., & Degruttola, V. (2011). Recursive partitioning of resistant mutations for longitudinal markers based on a U-type score. Biostatistics, 12(4), 750-762. https://doi.org/10.1093/biostatistics/kxr011