Computer System and Method That Determines Sample Size and Power Required For Complex Predictive and Causal Data Analysis

摘要

Established methods for statistical “power-size” analysis for statistical modeling are geared toward statistical hypothesis testing, and have serious shortcomings in modern complex predictive and causal modeling applications where the determination of sample size is affected by parameters not addressed by the standard statistical power-size analysis. The present invention provides a method and computer-implemented system for determining sufficient sample size for training predictive or causal models for a given application field or distribution type and desired performance level taking into account the critical factors that affect the needed sample size. The invention can be applied to practically any field where predictive modeling or causal modeling are desired.