ReviewEuropean journal of epidemiology2018
Stacked generalization: an introduction to super learning.
Review in European journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
123 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Machine Learning for Predicting Stillbirth: A Systematic Review.Reproductive sciences (Thousand Oaks, Calif.) · 2025Pooled it
- Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review.Frontiers in oncology · 2025Pooled it
- Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis.Translational psychiatry · 2022Pooled it
- Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT).Psychological medicine · 2025Trial
- Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes: A Secondary Analysis of a Randomized Clinical Trial.JAMA network open · 2022Trial
- Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.Nature communications · 2021Trial
- A global dataset of immigration flow composition by age, sex and educational attainment.Scientific data · 2026Article
- Combining Observational Studies to Reduce Multiple Biases.Epidemiology (Cambridge, Mass.) · 2026Article
- Estimating the effects of hypothetical loneliness interventions on memory function among middle-aged and older adults in the United States.American journal of epidemiology · 2026Article
- Radiomics in Medical Imaging: Methods, Applications, and Challenges.Journal of imaging · 2026Review
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer.medRxiv : the preprint server for health sciences · 2026Article
- Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpOMeasurement : journal of the International Measurement Confederation · 2026Article
- Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.BMJ open ophthalmology · 2026Article
- Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning.PLOS global public health · 2026Article
- Optimizing personalized screening intervals for clinical biomarkers using extended joint models.Journal of applied statistics · 2026Article
- Construction of an interpretable prediction model for poor functional outcome in conservatively managed basal ganglia hemorrhage based on CT radiomics and multiple machine learning algorithms.Frontiers in neurology · 2026Article
- StackPVP: a stacked ensemble classification framework for predicting phage virion proteins using integrated evolutionary features.Frontiers in microbiology · 2026Article
- Peripheral blood T-lymphocyte subsets provide prediction of early postoperative recurrence in elderly patients with lung cancer: model development and external validation.Frontiers in oncology · 2026Article
- Environmental Chemicals as Modifiers of the Association between Age and Ovarian Reserve.medRxiv : the preprint server for health sciences · 2025Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Stacked generalization is an ensemble method that allows researchers to combine several different prediction algorithms into one. Since its introduction in the early 1990s, the method has evolved several times into a host of methods among which is the "Super Learner". Super Learner uses V-fold cross-validation to build the optimal weighted combination of predictions from a library of candidate algorithms. Optimality is defined by a user-specified objective function, such as minimizing mean squared error or maximizing the area under the receiver operating characteristic curve. Although relatively simple in nature, use of Super Learner by epidemiologists has been hampered by limitations in understanding conceptual and technical details. We work step-by-step through two examples to illustrate concepts and address common concerns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.