Multiple studies and weak evidential defeat
Tóm tắt
When a study shows statistically significant correlation between an exposure and an outcome, the credence of a real connection between the two increases. Should that credence remain the same when it is discovered that further independent studies between the exposure and other independent outcomes were conducted? Matthew Kotzen argues that it should remain the same, even if the results of those further studies are discovered. However, we argue that it can differ dependent upon the results of the studies.
Tài liệu tham khảo
Kotzen, M. 2013. Multiple studies and evidential defeat. Noûs 47: 154–180.
Scott, J., and J. Berger. 2006. An exploration of aspects of Bayesian multiple testing. Journal of Statistical Planning and Inference 136: 2144–2162.
Armstrong, D. 1989. Universals: An opinionated introduction. Boulder, Colorado: Westview Press.
Lewis, D. 1983. New work for a theory of universals. Australasian Journal of Philosophy 61: 343–377.
Dorr, C., and J. Hawthorne. 2013. Naturalness. Oxford Studies in Metaphysics 8: 3–77.
Sterne, J., and G. Smith. 2001. Sifting the evidence—What’s wrong with significance tests? BMJ 322: 226–230.
Wacholder, S., S. Chanock, M. Garcia-Closas, L. El Ghormli, and N. Rothman. 2004. Assessing the probability that a positive report is false: An approach for molecular epidemiology studies. Journal of the National Cancer Institute 96: 434–442.
Chanock, S. 2001. Candidate genes and single nucleotide polymorphisms (SNPs) in the study of human disease. Disease Markers 17: 89–98.
Colhoun, H., P. McKeigue, and G. Davey Smith. 2003. Problems of reporting genetic associations with complex outcomes. The Lancet 361: 865–872.
Ioannidis, J. 2005. Why most published research findings are false. PLoS Medicine 2: 696–701.
Burke, D. 2015. Use of Bayesian methods for the design, analysis and synthesis of clinical trials. Ph.D. diss., University of Birmingham.
Browner, W., and T. Newman. 1987. Are all significant p values created equal? The analogy between diagnostic tests and clinical research. Journal of the American Medical Association 257: 2459–2463.