Mathematical and statistical strategies for biomarker research of aging.
The continuing revolution in personal computers has placed computing power rivaling that of some computational laboratories on the desktops of many investigators. Contained in this article are some suggestions for taking advantage of this enhanced computing power in analyzing data in which an investigator does not have control over his sample. Sample reuse methods, called the jackknife and the bootstrap, are discussed, along with possible applications of time-series methods. Some suggestions for getting help from mathematical scientists are also included.
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C J
CJ
Department of Mathematics and Computer Science, Drexel University, Philadelphia, Pennsylvania 19104.
D000375:Aging / Q000502:physiology*; D000818:Animals; D015415:Biomarkers; D005838:Genotype; D006801:Humans; D008137:Longitudinal Studies; D008432:Mathematical Computing; D051379:Mice; D008954:Models, Biological; D012107:Research Design; D012306:Risk
D015415:Biomarkers