False discovery rate control is not always a replacement for Bonferroni adjustment (Letter commenting on: J Clin Epidemiol. 2014;67:850-7).
نویسنده
چکیده
[1] Cohen JF, Chalumeau M, Cohen R, Korevaar DA, Khoshnood B, Bossuyt PM. Cochran’s Q test was useful to assess heterogeneity in likelihood ratios in studies of diagnostic accuracy. J Clin Epidemiol 2015;68:299e306. [2] Cochran WG. The combination of estimates from different experiments. Biometrics 1954;10:101e29. [3] Cochran WG. Some methods for strengthening the common c tests. Biometrics 1954;10:417e51. [4] Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002;21:1539e58. [5] Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327:557e60. [6] Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. The Cochrane Collaboration; 2011. Available at www.cochrane-handbook.org. [7] Agresti A. Categorical data analysis. 2nd ed. New York: John Wiley & Sons; 2002.
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ورودعنوان ژورنال:
- Journal of clinical epidemiology
دوره 69 شماره
صفحات -
تاریخ انتشار 2016