Stan Pounds1, Cheng Cheng. 1. Department of Biostatistics, St Jude Children's Research Hospital 332 N. Lauderdale Street, Memphis, TN 38135, USA. stanley.pounds@stjude.org
Abstract
MOTIVATION: There is not a widely applicable method to determine the sample size for experiments basing statistical significance on the false discovery rate (FDR). RESULTS: We propose and develop the anticipated FDR (aFDR) as a conceptual tool for determining sample size. We derive mathematical expressions for the aFDR and anticipated average statistical power. These expressions are used to develop a general algorithm to determine sample size. We provide specific details on how to implement the algorithm for a k-group (k > or = 2) comparisons. The algorithm performs well for k-group comparisons in a series of traditional simulations and in a real-data simulation conducted by resampling from a large, publicly available dataset. AVAILABILITY: Documented S-plus and R code libraries are freely available from www.stjuderesearch.org/depts/biostats.
MOTIVATION: There is not a widely applicable method to determine the sample size for experiments basing statistical significance on the false discovery rate (FDR). RESULTS: We propose and develop the anticipated FDR (aFDR) as a conceptual tool for determining sample size. We derive mathematical expressions for the aFDR and anticipated average statistical power. These expressions are used to develop a general algorithm to determine sample size. We provide specific details on how to implement the algorithm for a k-group (k > or = 2) comparisons. The algorithm performs well for k-group comparisons in a series of traditional simulations and in a real-data simulation conducted by resampling from a large, publicly available dataset. AVAILABILITY: Documented S-plus and R code libraries are freely available from www.stjuderesearch.org/depts/biostats.
Authors: Stan Pounds; Cuilan Lani Gao; Robert A Johnson; Karen D Wright; Helen Poppleton; David Finkelstein; Sarah E S Leary; Richard J Gilbertson Journal: Bioinformatics Date: 2011-06-22 Impact factor: 6.937
Authors: Chiara Taurino; William H Miller; Martin W McBride; John D McClure; Raya Khanin; María U Moreno; Jane A Dymott; Christian Delles; Anna F Dominiczak Journal: Clin Sci (Lond) Date: 2010-07-09 Impact factor: 6.124
Authors: Howard B Gutstein; Jeffrey S Morris; Suresh P Annangudi; Jonathan V Sweedler Journal: Mass Spectrom Rev Date: 2008 Jul-Aug Impact factor: 10.946