10 citations · 10 across the 1 of their papers we have counts for
3 papers
math.ST2020
A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix
Andrew T. Karl, Dale L. Zimmerman
We explore how violations of the often-overlooked standard assumption that the random effects model matrix in a linear mixed model is fixed (and thus independent of the random effe…
stat.AP2018
Avoiding Bias Due to Nonrandom Scheduling When Modeling Trends in Home-Field Advantage
Andrew T. Karl
Existing approaches for estimating home-field advantage (HFA) include modeling the difference between home and away scores as a function of the difference between home and away tea…
stat.ME2017★ 10 cited
A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects
Andrew T. Karl, Yan Yang, Sharon L. Lohr
Value-added models have been widely used to assess the contributions of individual teachers and schools to students' academic growth based on longitudinal student achievement outco…