Abstract
PURPOSE: In molecular epidemiologic studies, optimizing the use of available biological specimens while minimizing the cost is always a challenge. This is particularly true in pilot studies, which often have limited funding and involve small numbers of biological samples too small for assessment of recently developed biomarkers. METHODS: In this study we examined several statistical approaches for determining how many experimental subjects to use in a biomarker study and how many repeated measurements to make on each sample, given specific funding considerations and the correlated nature of the repeated measurements. RESULTS: A molecular epidemiology study of DNA repair and aging in basal cell carcinoma was used to illustrate the application of the statistical methods proposed. CONCLUSIONS: Our methods extend traditional designs on biomarker studies with repeated measurements to including funding constraints.
Original language | English (US) |
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Pages (from-to) | 204-208 |
Number of pages | 5 |
Journal | Annals of epidemiology |
Volume | 13 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2003 |
Keywords
- Financial Constraints
- Optimal Design
- Repeated Measurement
ASJC Scopus subject areas
- Epidemiology