A discrete-time survival model with random effects for designing and analyzing repeated low-dose challenge experiments.
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ABSTRACT:
SUBMITTER: Kang C
PROVIDER: S-EPMC4786638 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
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A discrete-time survival model with random effects for designing and analyzing repeated low-dose challenge experiments.
Kang Chaeryon C Huang Ying Y Miller Christopher J CJ
Biostatistics (Oxford, England) 20140903 2
Repeated low-dose (RLD) challenge designs are important in HIV vaccine research. Current methods for RLD designs rely heavily on an assumption of homogeneous risk of infection among animals, which, upon violation, can lead to invalid inferences and underpowered study designs. We propose to fit a discrete-time survival model with random effects that allows for heterogeneity in the risk of infection among animals and allows for predetermined challenge dose changes over time. Based on this model, w ...[more]
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