Journal article
Mathematical and statistical strategies for biomarker research of aging
Experimental gerontology, v 23(4), pp 369-375
1988
PMID: 3197783
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
Metrics
Details
- Title
- Mathematical and statistical strategies for biomarker research of aging
- Creators
- Charles J. Mode - Drexel University
- Publication Details
- Experimental gerontology, v 23(4), pp 369-375
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1988Q264400016
- Scopus ID
- 2-s2.0-0023720581
- Other Identifier
- 991019174901104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Geriatrics & Gerontology