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Improving estimation in genetic models using prior information
2016
Norsk Epidemiologi
Statistical models used to investigate research questions in behavioral genetics often require large amounts<br />of data. This paper introduces some key concepts of Bayesian analysis and illustrates how these methods<br />can aid model estimation when the data does not provide enough information to reliably answer research<br />questions. The use of informative prior distributions is discussed as a method of incorporating information<br />from other sources than the data at hand. The procedure
doi:10.5324/nje.v26i1-2.2017
fatcat:cevopjwjrvgahaj5erp7kgrb5q