PubMed · 10139161
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M Sobesky, C Michelet, R Thomas, P LeBuex. 1994. Decision making system.. https://pubmed.ncbi.nlm.nih.gov/10139161/
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Recurrent event data are commonly encountered in health-related longitudinal studies. In this paper time-to-events models for recurrent event data are studied with non-informative and informative censorings. In statistical literature, the risk set methods have been confirmed to serve as an appropriate and efficient approach for analysing recurrent event data when censoring is non-informative. This approach produces biased results, however, when censoring is informative for the time-to-events outcome data. We compare the risk set methods with alternative non-parametric approaches which are robust subject to informative censoring. In particular, non-parametric procedures for the estimation of the cumulative occurrence rate function (CORF) and the occurrence rate function (ORF) are discussed in detail. Simulation and an analysis of data from the AIDS Link to Intravenous Experiences Cohort Study is presented.
The role of axonopathy in myelin disorders recently has been examined. To investigate axonal pathologic changes in vacuolar myelopathy (VM), semiquantitative immunohistochemical stains for inflammation, axonal damage, and gliosis were performed on spinal cord sections from patients with AIDS with and without VM and from HIV-negative controls. Significant axonal damage was present in only moderate to severe VM, despite inflammation at all stages. The authors conclude that axonal damage is not present in early disease; it is present in moderate to severe vacuolar myelopathy and may contribute to clinical deficits in late stages of this disorder.