Ethics in Statistical Science
This page addresses problems of data analysis and interpretation, in
statistical science. To some degree, these span most areas of
scientific inquiry where data are gathered. Brad Efron recently
said, "statistics is the science of learning from experience". In
that process of learning from experience, we may filter
information using traditional statistical summaries, judgement
calls, and our own biases.
Some attention is given to ethical issues in -omic analysis, which may have implications for policy or ethics both in the early stages of
planning studies as well as downstream.
Resources for Ethics in Statistical Science
Ethics and Genetics/Genomics/-omics
Selected Research papers
- Brickley P (2003) Free access costs money.
News from The Scientist 4: 0030221-07.
[Paper]
- DeMets DL (1999) Statistics and ethics in medical research.
Science and Engineering Ethics 5: 97-117.
[Abstract]
- Feinstein AR (1974) Clinical biostatistics. XXVI. Medical ethics and the architecture of clinical research.
Clin Pharmacol Ther 15: 316-34.
- Gentleman R, Duncan TL (2007)
Statistical analyses and reproducible research.
J Comp Graph Statist 16: 1-23
[Paper]
- Miller FA, Begbie M, Giacomini M, Ahern C, Harvey E (2006)
Re-defining disease? The nosologic implications of molecular
genetic knowledge. Perspectives in Biology and Medicine
49: 99-114.
[Paper]
- Tilstone C (2003)
DNA microarrays: vital statistics.
Nature 424: 610-612.
[Paper]
Brian Yandell
Last modified: Thu Jan 21 08:35:31 CST 2010