Show simple item record

dc.contributor.authorLambert, Christophe G.
dc.contributor.authorBlack, Laura J.
dc.identifier.citationLambert, C. G., and L. J. Black. “Learning from Our GWAS Mistakes: From Experimental Design to Scientific Method.” Biostatistics 13, no. 2 (January 27, 2012): 195–203. doi:10.1093/biostatistics/kxr055.en_US
dc.description.abstractMany public and private genome-wide association studies that we have analyzed include flaws in design, with avoidable confounding appearing as a norm rather than the exception. Rather than recognizing flawed research design and addressing that, a category of quality-control statistical methods has arisen to treat only the symptoms. Reflecting more deeply, we examine elements of current genomic research in light of the traditional scientific method and find that hypotheses are often detached from data collection, experimental design, and causal theories. Association studies independent of causal theories, along with multiple testing errors, too often drive health care and public policy decisions. In an era of large-scale biological research, we ask questions about the role of statistical analyses in advancing coherent theories of diseases and their mechanisms. We advocate for reinterpretation of the scientific method in the context of large-scale data analysis opportunities and for renewed appreciation of falsifiable hypotheses, so that we can learn more from our best mistakes.en_US
dc.titleLearning from Our GWAS Mistakes: From Experimental Design to Scientific Methoden_US
mus.identifier.categoryBusiness, Economics & Managementen_US
mus.relation.collegeCollege of Businessen_US
mus.relation.universityMontana State University - Bozemanen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.