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.
机构:New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA
Zhu, J
;
Liu, JS
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机构:New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA
Liu, JS
;
Lawrence, CE
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机构:
New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USANew York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA
机构:New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA
Zhu, J
;
Liu, JS
论文数: 0引用数: 0
h-index: 0
机构:New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA
Liu, JS
;
Lawrence, CE
论文数: 0引用数: 0
h-index: 0
机构:
New York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USANew York State Dept Hlth, Wadsworth Ctr Labs & Res, Biometr Lab, Albany, NY 12201 USA