Genetic associations in large versus small studies: an empirical assessment.
By John P. A. Ioannidis, Thomas A. Trikalinos, E. Ntzani, D. Contopoulos-Ioannidis. The Lancet, 2003
608 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/1c6bc769abac513f011897113a84578f6755eea1
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In Genetics
Citations in the corpus
- The future of association studies: gene-based analysis and replication. (2004, result): “Similar surveys of the association literature have been conducted, yielding successful replication rates of 16%‐30% (Ioannidis 2003; Ioannidis et al. 2003; Lohmueller et al. 2003).”
- Candidate gene studies of ADHD: a meta-analytic review (2009, background): “Given these challenges, candidate gene studies require large samples to achieve adequate statistical power and replicable results (Ioannidis et al. 2003).”
- Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, background): “One of the chief causes of FDRs, however, is inadequate sample size (Ioannidis et al., 2001, 2003; Ransohoff, 2004; Wacholder et al., 2004; Ioannidis, 2005a, b; Ioannidis and Trikalinos, 2005; Ein-Dor et al., 2006; Todd, 2006), a feature that is particularly problematic in cases when the number of…”