Sample Size Calculation for Controlling False Discovery Proportion

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sample Size Calculation for Controlling False Discovery Proportion

The false discovery proportion FDP , the proportion of incorrect rejections among all rejections, is a direct measure of abundance of false positive findings in multiple testing. Many methods have been proposed to control FDP, but they are too conservative to be useful for power analysis. Study designs for controlling the mean of FDP, which is false discovery rate, have been commonly used. Howe...

متن کامل

Quick Calculation for Sample Size while Controlling False Discovery Rate with Application to Microarray Analysis

1 Summary. Sample size estimation is important in microarray or proteomic experiments since biologists can typically afford only a few repetitions. Classical procedures to calculate sample size are based on controlling type I error, e.g., family-wise error rate (FWER). In the context of microarray and other large-scale genomic data, it is more powerful and more reasonable to control false disco...

متن کامل

Gene expression: Quick calculation for sample size while controlling false discovery rate with application to microarray analysis

MOTIVATION Sample size calculation is important in experimental design and is even more so in microarray or proteomic experiments since only a few repetitions can be afforded. In the multiple testing problems involving these experiments, it is more powerful and more reasonable to control false discovery rate (FDR) or positive FDR (pFDR) instead of type I error, e.g. family-wise error rate (FWER...

متن کامل

Further Results on Controlling the False Discovery Proportion

The probability of false discovery proportion (FDP) exceeding γ ∈ [0,1), defined as γ-FDP, has received much attention as a measure of false discoveries in multiple testing. Although this measure has received acceptance due to its relevance under dependency, not much progress has been made yet advancing its theory under such dependency in a nonasymptotic setting, which motivates our research in...

متن کامل

Sample Size Estimation while Controlling False Discovery Rate for Microarray Experiments Using the ssize.fdr Package

Microarray experiments are becoming more and more popular and critical in many biological disciplines. As in any statistical experiment, appropriate experimental design is essential for reliable statistical inference, and sample size has a crucial role in experimental design. Because microarray experiments are rather costly, it is important to have an adequate sample size that will achieve a de...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Probability and Statistics

سال: 2012

ISSN: 1687-952X,1687-9538

DOI: 10.1155/2012/817948