Predictive strength of Jonckheere's test for trend: An application to genotypic scores in HIV infection

Statistics in Medicine

Volumn 26, Issue 24, 2007, Pages 4441-4454

  Flandre, Philippe ^a,b   O'Quigley, John ^c  

^a INSERM   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c INSTITUT CURIE   (France)

Author keywords

Goodness of split; Jonckheere's test for trend; Non parametric test; Prediction

Indexed keywords

VIRUS RNA;

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; GENE MUTATION; GENOTYPE; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; METHODOLOGY; MUTATIONAL ANALYSIS; NULL HYPOTHESIS; PREDICTION; RNA ANALYSIS; SCORING SYSTEM; SIMULATION; STATISTICAL PARAMETERS; VIRUS RESISTANCE;

DRUG RESISTANCE, VIRAL; GENES, VIRAL; GENOTYPE; HIV INFECTIONS; HIV-1; HUMANS; MODELS, STATISTICAL; MUTATION; PREDICTIVE VALUE OF TESTS; STATISTICS, NONPARAMETRIC;

EID: 35148826765     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2871     Document Type: Article

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