Jaime L. Speiser

A comparison of random forest variable selection methods for classification prediction modeling

Jaime L. Speiser, Michael E. Miller, Janet A. Tooze et al. · Expert Systems with Applications · 2019 · 1.4K citations · Full text

Data Classification, Classification Prediction, Engineering +12

Methods for Analysis of Pre-Post Data in Clinical Research: A Comparison of Five Common Methods

Nathaniel S. O’Connell, Lin Dai, Yunyun Jiang et al. · Journal of Biometrics & Biostatistics · 2017 · 181 citations · Full text

Clinical Specialties, Treatment Effect, Post Treatment Measurement +19

Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning

Anthony Leonard, Robert B. Cameron, Jaime L. Speiser et al. · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · 2014 · 149 citations · Full text

Engineering, Machine Learning, Mitochondrial Function +11

High-Sensitivity C-Reactive Protein Modifies the Cardiovascular Risk of Lipoprotein(a)

Wei Zhang, Jaime L. Speiser, Fan Ye et al. · Journal of the American College of Cardiology · 2021 · 139 citations · Full text

Inflammation, Metabolic Syndrome, Cardiovascular Epidemiology +10

The Natural History of Severe Acute Liver Injury

David Koch, Jaime L. Speiser, Valerie Durkalski et al. · The American Journal of Gastroenterology · 2017 · 137 citations · Full text