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.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

The authors present a set of statistical decision rules based on linear regression models that can be implemented in an automated trend system to assist stability studies. Submitted: Feb. 22, 2016.

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

Valen E. Johnson receives funding from the National Institutes of Health to perform biostatistical research on the selection of variables associated with cancer and cancer research. In their ...

Outliers may provide useful information about the development and manufacturing process. Analysts use various statistical methods to evaluate outliers and to reduce their impact on the analysis. This ...