Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.
Advances in high-throughput biology and computer science are driving an exponential increase in the number of hypothesis tests in genomics and other scientific disciplines. Studies using current ...
Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...
Conflicting findings are often reported in microbiome association studies, which could be due to insufficient sample sizes and numerous confounders. A new study, utilizing two large-scale human ...
When auditing a company, auditors use a combination of professional judgment and statistical sampling methods to estimate account balances. Statistical sampling is an efficient way to design samples, ...
While previous sections of this report have focused on the kinds of systematic biases that may be the largest worry when it comes to public opinion polls, the variance (or precision) of estimates is ...
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