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Longitudinal studies could be complicated by left-censored repeated measures.For example, in Human Immunodeficiency Virus infection, there is a detectionlimit of the assay used to quantify the plasma viral load. Simple imputation ofthe limit of the detection or of half of this limit for left-censored measuresbiases estimations and their standard errors. In this paper, we review twolikelihood-based methods proposed to handle left-censoring of the outcome inlinear mixed model. We show how to fit these models using SAS Proc NLMIXED andwe compare this tool with other programs. Indications and limitations of theprograms are discussed and an example in the field of HIV infection is shown.

Mixed models for longitudinal left-censored repeated measures