Bayesian statistics in genetics: a guide for the uninitiated.
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.
Shoemaker
J S
JS
The Cancer Prevention, Detection, Control Research Program, Duke Medical Center, Box 2949, Durham, NC 27710, USA. shoem003@mc.duke.edu
Painter
I S
IS
Weir
B S
BS
D001499:Bayes Theorem; D001699:Biometry; D005823:Genetics / Q000706:statistics & numerical data*; D008957:Models, Genetic; D011336:Probability; D019655:Quantitative Trait, Heritable