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- W2480147280 abstract "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 is illustrated with an ACE model decomposition of<br />the variance of antisocial personality disorder. The data originates from the Norwegian Twin Registry, and<br />includes adult twins assessed with the Structured Interview for DSM Personality (SIDP-IV). Inclusion of<br />prior information lead to a shift with respect to conclusions about the presence of shared environmental<br />effects compared to a traditional analysis. Small and medium sized studies should consider use of prior<br />information to aid estimation of population parameters." @default.
- W2480147280 created "2016-08-23" @default.
- W2480147280 creator A5045253283 @default.
- W2480147280 date "2016-07-20" @default.
- W2480147280 modified "2023-10-16" @default.
- W2480147280 title "Improving estimation in genetic models using prior information" @default.
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- W2480147280 doi "https://doi.org/10.5324/nje.v26i1-2.2017" @default.
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