alexa Statistical-genetics-Open-Access-Articles | Journal Of Biometrics And Biostatistics

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Statistical-genetics-Open-Access-Articles

Statistical geneticists at HSPH develop statistical methods for understanding the genetic basis of human diseases and traits. These methods involve large-scale data sets from candidate-gene, genome-wide and resequencing studies, using both unrelated and related individuals. HSPH statistical geneticists collaborate with other investigators at HSPH and around the world on studies of cancer, heart disease, diabetes, respiratory disease, psychiatric disease, and health-related behaviors (e.g. smoking, diet). Open Access articles are immediately, freely available on their Web site, a model mostly funded by charges paid by the author (usually through a research grant). The alternative for a researcher is “self-archiving” (i.e., to publish in a traditional journal, where only subscribers have immediate access, but to make the article available on their personal and/or institutional Web sites (including so-called repositories or archives)), which is a practice allowed by many scholarly journals. Open Access raises practical and policy questions for scholars, publishers, funders, and policymakers alike, including what the return on investment is when paying an article processing fee to publish in an Open Access articles, or whether investments into institutional repositories should be made and whether self-archiving should be made mandatory, as contemplated by some funders.
 
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