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 |
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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
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 journal › Article
}
TY - JOUR
T1 - Recursive partitioning of resistant mutations for longitudinal markers based on a U-type score
AU - Hu, Chengcheng
AU - Degruttola, Victor
PY - 2011/10
Y1 - 2011/10
N2 - 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.
AB - 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.
KW - Antiretroviral drugs
KW - Longitudinal data
KW - Recursive partitioning
KW - Repeated measurements
KW - Resistance mutations
KW - Tree method
UR - http://www.scopus.com/inward/record.url?scp=80052705535&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052705535&partnerID=8YFLogxK
U2 - 10.1093/biostatistics/kxr011
DO - 10.1093/biostatistics/kxr011
M3 - Article
C2 - 21596729
AN - SCOPUS:80052705535
VL - 12
SP - 750
EP - 762
JO - Biostatistics
JF - Biostatistics
SN - 1465-4644
IS - 4
ER -