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 · 1.5K citations · Full text

Computing, Data Science, Data Mining +13

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 · 191 citations · Full text

Medicine, Biostatistics, Outcomes Research +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 · 160 citations · Full text

Life Sciences, Biochemistry, Immunology +12

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 · 152 citations · Full text

Life Sciences, Biology, Cell Biology +17

The Natural History of Severe Acute Liver Injury

David Koch, Jaime L. Speiser, Valerie Durkalski et al. · The American Journal of Gastroenterology · 2017 · 143 citations · Full text

Medicine, Internal Medicine, Hepatology +16