Nonparametric mixed-effects models for repeated binary data arising in serial dilution assays: An application to estimating viral burden in aids

Journal of the American Statistical Association

Volumn 91, Issue 433, 1996, Pages 52-61

  Zackin, Robert ^a   Gruttola, Victor De ^a   Laird, Nan ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

HIV infection; Mixed effects model; Nonparametric estimation; Random effects model; Serial dilution assay; Viral burden

Indexed keywords

EID: 0043287485     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1996.10476663     Document Type: Article

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