| Autor: |
Shoemaker JS; The Cancer Prevention, Detection, Control Research Program, Duke Medical Center, Box 2949, Durham, NC 27710, USA. shoem003@mc.duke.edu, Painter IS, Weir BS |
| Jazyk: |
angličtina |
| Zdroj: |
Trends in genetics : TIG [Trends Genet] 1999 Sep; Vol. 15 (9), pp. 354-8. |
| DOI: |
10.1016/s0168-9525(99)01751-5 |
| Abstrakt: |
Statistical analyses are used in many fields of genetic research. Most geneticists are taught classical statistics, which includes hypothesis testing, estimation and the construction of confidence intervals; this framework has proved more than satisfactory in many ways. What does a Bayesian framework have to offer geneticists? Its utility lies in offering a more direct approach to some questions and the incorporation of prior information. It can also provide a more straightforward interpretation of results. The utility of a Bayesian perspective, especially for complex problems, is becoming increasingly clear to the statistics community; geneticists are also finding this framework useful and are increasingly utilizing the power of this approach. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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Full Text from ScienceDirect