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Author

Andrew T. Karl

Observed names: Andrew Karl, Karl, Andrew, Karl, Andrew T, Karl, Andrew T.
ORCID: 0000-0002-5933-8706
Observed ORCID: 0000-0002-5933-8706
OpenAlex ID: A5030138037
A practical guide to text mining with topic extraction
2015 · Andrew Karl, James Wisnowski, et al. · Wiley Interdisciplinary Reviews Computational Statistics · 57
Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP
2013 · Heath Rushing, Jim Wisnowski, et al. · 45
A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
2023 · Andrew T. Karl, Sean Essex, et al. · Journal of Visualized Experiments · 17
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Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments
2012 · Andrew T. Karl, Yan Yang, et al. · Computational Statistics & Data Analysis · 13
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Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects
2013 · Andrew T. Karl, Yan Yang, et al. · Computational Statistics & Data Analysis · 12
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A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects
2012 · Karl, Andrew · Arizona State University Library Digital Repository (Arizona State University) · 12
Using RngStreams for parallel random number generation in C++ and R
2014 · Andrew T. Karl, Randy Eubank, et al. · Computational Statistics · 11
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A diagnostic for bias in linear mixed model estimators induced by dependence between the random effects and the corresponding model matrix
2020 · Andrew T. Karl, Dale L. Zimmerman · Journal of Statistical Planning and Inference · 9
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GPvam: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
2012 · Andrew Karl, Yan Yang, et al. · 9
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Multivariate Generalized Linear Mixed Models for Joint Estimation of Sporting Outcomes
2017 · Broatch, Jennifer E., Karl, Andrew T. · arXiv (Cornell University) · 7
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The Sensitivity of College Football Rankings to Several Modeling Choices
2012 · Andrew T. Karl · Journal of Quantitative Analysis in Sports · 6
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RealVAMS: An R Package for Fitting a Multivariate Value-added Model (VAM)
2018 · Jennifer Broatch, Jennifer Green, et al. · The R Journal · 5
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SVEMnet: An R package for self-validated elastic-net ensembles and multi-response optimization in small-sample mixture–process experiments
2026 · Andrew T. Karl · Chemometrics and Intelligent Laboratory Systems · 4
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Tradespace analysis for multiple performance measures
2016 · Alex D. MacCalman, Susan M. Sanchez, et al. · Winter Simulation Conference · 4
A randomized permutation whole-model test heuristic for Self-Validated Ensemble Models (SVEM)
2024 · Andrew T. Karl · Chemometrics and Intelligent Laboratory Systems · 3
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Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
2023 · Karl, Andrew T., Wisnowski, James, et al. · arXiv (Cornell University) · 2
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Factoring A-Optimality into D-Optimality and Sphericity
2026 · Karl, Andrew T. · arXiv (Cornell University) · 1
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Motivating REML via Prediction-Error Covariances in EM Updates for Linear Mixed Models
2026 · Karl, Andrew T. · arXiv (Cornell University) · 1
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Parameter-Specific Bias Diagnostics in Random-Effects Panel Data Models
2024 · Karl, Andrew T. · arXiv (Cornell University) · 1
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RealVAMS: Multivariate VAM Fitting
2014 · Andrew Karl, Jennifer Broatch, et al. · 1
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mvglmmRank: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
2014 · Andrew T. Karl, Jennifer Broatch · 1
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A Sphericity Filter for Space-Filling Designs in Noisy Experiments, with Application to Constrained Mixtures
2026 · Karl, Andrew T. · arXiv (Cornell University)
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Degrees‐of‐Freedom Approximations for Conditional‐Mean Inference in Random‐Lot Stability Analysis
2026 · Andrew T. Karl, Heath Rushing, et al. · Pharmaceutical Statistics
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Order-induced variance in the moving-range sigma estimator: a total-variance decomposition
2026 · Andrew T. Karl · Statistical Papers
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glmmFEL: Generalized Linear Mixed Models via Fully Exponential Laplace in EM
2026 · Andrew T. Karl
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Works count: 31
Citation count: 223
H-index: 9
I10-index: 7
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