Stein-Rule Estimation in Genetic Carrier Testing
Stein-Rule Estimation in Genetic Carrier Testing is a scholarly work, published in 2019 in ''International Journal of Computational Economics and Econometrics''. The main subjects of the publication include logit, econometrics, mixture model, mathematics, uncorrelatedness, Shrinkage, genomics, statistics, missing data, project management estimation, logistic regression model, and population. The authors show that shrinkage estimates with higher shrinkage constant improve the percentages of correct predicted choices by 2% and 10% respectively with Jewish and general population samples.