Google Scholar pages: Jaime's and Nate's
GitHub pages: Jaime's and Nate's
Current Grant
K25 AG068253: Development and validation of a prediction model for longitudinal fall risk in older adults (Speiser, PI), 2021-2026
Past Grants
National Center for Advancing Translational Sciences, Wake Forest Clinical and Translational Research Institute, KL2 Career Development Grant: Random forest methodology for longitudinal outcomes in aging (Speiser, PI) 2018-2020
National Center for Advancing Translational Sciences, Wake Forest Clinical and Translational Research Institute, BERD Methods Pilot Grant: Benchmarking random forest variable selection methods for continuous outcomes with open-source data (Speiser PI, O'Connell Co-I) 2022-2023
National Center for Advancing Translational Sciences, Wake Forest Clinical and Translational Research Institute, Translational Science Pilot Grant and Wake Forest Center for Biomedical Informatics Supplement: Standardized, HArmonized REpository of Longitudinal Aging Data (SHARE data) (Speiser PI, O'Connell Co-I) 2023-2024
Highlighted Publications
2026:
Developing and internally validating AI-based aging resilience biomarkers in non-human primates
RF Bennett, JL Speiser, JD Olson, GW Schaaf, TC Register, LA Cox, ...
The Journals of Gerontology, Series A: Biological Sciences and Medical …
Random Forests as Statistical Procedures: Design, Variance, and Dependence
NS O'Connell
arXiv preprint arXiv:2602.13104
2025:
NS O’Connell, BC Jaeger, GS Bullock, JL Speiser
Briefings in Bioinformatics 26 (2), bbaf096
M Ehrig, GS Bullock, XI Leng, NM Pajewski, JL Speiser
JMIR Medical Informatics 13 (1), e64354
JK Brooten, JL Speiser, JL Gabbard, DP Miller, SA Mahler, AS Turner, ...
Academic Emergency Medicine 32 (6), 650-658
NS O’Connell, JL Speiser
BMC Medical Research Methodology 25 (1), 92
Z Su, Y Guo, R Wesolowski, G Tozbikian, NS O'Connell, MKK Niazi, ...
Modern Pathology, 100847
2024:
Accelerated and interpretable oblique random survival forests
BC Jaeger, S Welden, K Lenoir, JL Speiser, MW Segar, A Pandey, ...
Journal of Computational and Graphical Statistics 33 (1), 192-207
Common critiques and recommendations for studies in neurology using machine learning methods
JL Speiser, WT Kerr, A Ziegler
Neurology 103 (7), e209861
Low stroke volume predicts deterioration in intermediate-risk pulmonary embolism: prospective study
AJ Weekes, P Hambright, A Trautmann, S Ali, A Pikus, N Wellinsky, ...
Western Journal of Emergency Medicine 25 (4), 533
2023:
AJ Weekes, JD Raper, D Esener, J Davison, JS Boyd, C Kelly, JT Nomura, ...
JACEP Open 4 (3), e12983
2022:
JL Speiser, KE Callahan, EH Ip, ME Miller, JA Tooze, SB Kritchevsky, ...
The Journals of Gerontology: Series A 77 (5), 1072-1078
Intermediate-risk pulmonary embolism: echocardiography predictors of clinical deterioration
AJ Weekes, DN Fraga, V Belyshev, W Bost, CA Gardner, NS O’Connell
Critical Care 26 (1), 160
2021:
JL Speiser
Journal of biomedical informatics 117, 103763
JL Speiser, KE Callahan, DK Houston, J Fanning, TM Gill, JM Guralnik, ...
The Journals of Gerontology: Series A 76 (4), 647-654
So You Developed a Clinical Prediction Model, Now What?
JL Speiser
Journal of Data Science 19 (4), 519–527
2020:
BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes
JL Speiser, BJ Wolf, D Chung, CJ Karvellas, DG Koch, VL Durkalski
Communications in Statistics-Simulation and Computation 49 (4), 1004-1023
2019:
A comparison of random forest variable selection methods for classification prediction modeling
JL Speiser, ME Miller, J Tooze, E Ip
Expert systems with applications 134, 93-101
BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes
JL Speiser, BJ Wolf, D Chung, CJ Karvellas, DG Koch, VL Durkalski
Chemometrics and Intelligent Laboratory Systems 185, 122-134
JL Speiser, CJ Karvellas, BJ Wolf, D Chung, DG Koch, VL Durkalski
Computer methods and programs in biomedicine 175, 111-120