Multiple polyexponentials and quasipolynomials as empirical nonlinear regression models: A case study with HIV viral load data

Journal of Biopharmaceutical Statistics

Volumn 16, Issue 2, 2006, Pages 165-179

  Huson, L W ^a   Chung, J ^b   Salgo, M ^b  

^a Biostatistics and Clinical Science Groups   (United Kingdom)

^b Biostatistics and Clinical Science Groups   (United States)

Author keywords

HIV1; Nonlinear regression; Polyexponential; Quasipolynomial

Indexed keywords

ENFUVIRTIDE; VIRUS RNA;

ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DRUG EFFECT; EMPIRICISM; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MAJOR CLINICAL STUDY; MULTICENTER STUDY; NONLINEAR REGRESSION ANALYSIS; PHASE 3 CLINICAL TRIAL; PLASMA; PRIORITY JOURNAL; STATISTICAL ANALYSIS; VIRUS LOAD;

DATA INTERPRETATION, STATISTICAL; HIV-1; HUMANS; MODELS, STATISTICAL; NONLINEAR DYNAMICS; RANDOMIZED CONTROLLED TRIALS; REGRESSION ANALYSIS; RNA, VIRAL; VIRAL LOAD;

EID: 32844464042     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400500508788     Document Type: Article

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