May 14, 2025 article Open access Evaluating the sample size requirements of tree-based ensemble machine learning techniques for clinical risk prediction Statistical Methods in Medical Research DOI: 10.1177/09622802251338983 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 7 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Calculating the sample size required for developing a clinical prediction model 2020 BMJ article Mathematics Statistical Methods in Epidemiology Open access 2,902 citations Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review 2022 BMC Medical Research Methodology review Mathematics Statistical Methods in Epidemiology Open access 138 citations Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting 2021 Statistical Methods in Medical Research article Health Professions Artificial Intelligence in Healthcare Open access 78 citations Estimation of required sample size for external validation of risk models for binary outcomes 2021 Statistical Methods in Medical Research article Mathematics Statistical Methods in Epidemiology Open access 60 citations 4 results