Non-parametric methods to predict HIV drug susceptibility phenotype from genotype

Statistics in Medicine

Volumn 22, Issue 17, 2003, Pages 2785-2798

  DiRienzo, A Gregory ^a   DeGruttola, Victor ^a   Larder, Brendan ^b   Hertogs, Kurt ^c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b Virco UK Ltd   (United Kingdom)

^c Virco BVBA   (Belgium)

Author keywords

Confidence band; Global type I error; Mutation; Q Q plot; Simultaneous inference; Wildtype sequence

Indexed keywords

AMPRENAVIR; ANTIRETROVIRUS AGENT; PROTEINASE; PROTEINASE INHIBITOR;

AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; CODON; DATA ANALYSIS; DRUG SENSITIVITY; GENE MUTATION; GENE SEQUENCE; GENETIC ASSOCIATION; GENOTYPE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IC 50; MATHEMATICAL COMPUTING; MEDICAL CARE; NONHUMAN; NONPARAMETRIC TEST; PHENOTYPE; PREDICTION; SAMPLING; STATISTICAL ANALYSIS; STATISTICAL MODEL; TWIN CONCORDANCE; TWIN DISCORDANCE; VIRAL GENETICS; VIRUS GENOME;

ANTI-HIV AGENTS; DRUG RESISTANCE, VIRAL; GENOTYPE; HIV; HIV INFECTIONS; HUMANS; PHENOTYPE;

EID: 0042926531     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1516     Document Type: Article

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