Haibo Zhou, Wangli Xu, Donglin Zeng, Jianwen Cai, Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme, Journal of the Royal Statistical ...

Jessica Minnier, Lu Tian, Tianxi Cai, A Perturbation Method for Inference on Regularized Regression Estimates, Journal of the American Statistical Association, Vol. 106, No. 496 (December 2011), pp.

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from quantitative data. But what is a statistic? Let’s find out. The word ...

In the specific scenario where one can reasonably assume that all confounding factors are observed—referred to as selection on observables—matching methods and synthetic controls can assist ...

Recently, a research team from Dankook University in South Korea proposed a new method that utilizes principles of quantum mechanics to solve causal inference problems. This breakthrough provides a ...

This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...