Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques. - Jaime Lynn Speiser; Constantine J. Karvellas; Bethany J. Wolf; Dongjun Chung; David G. Koch; Valerie L. Durkalski (Comput. Methods Programs Biomed., 2019)

A comparison of random forest variable selection methods for classification prediction modeling. - Jaime Lynn Speiser; Michael E. Miller; Janet Tooze; Edward H. Ip (Expert Syst. Appl., 2019)

BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes. - Jaime Lynn Speiser; Bethany J. Wolf; Dongjun Chung; Constantine J. Karvellas; David G. Koch; Valerie L. Durkalski (Commun. Stat. Simul. Comput., 2020)

A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data. - Jaime Lynn Speiser (J. Biomed. Informatics, 2021)

Accelerated and Interpretable Oblique Random Survival Forests. - Byron C. Jaeger; Sawyer Welden; Kristin M. Lenoir; Jaime Lynn Speiser; Matthew W. Segar; Ambarish Pandey; Nicholas M. Pajewski (J. Comput. Graph. Stat., 2024)

A comparison of random forest variable selection methods for regression modeling of continuous outcomes. - Nathaniel S. O'Connell; Byron C. Jaeger; Garrett S. Bullock; Jaime Lynn Speiser (Briefings Bioinform., 2025)