AIMC Topic: Data Interpretation, Statistical

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Using the counterfactual framework to estimate non-intention-to-treat estimands in randomised controlled trials: A methodological scoping review.

Contemporary clinical trials Apr 11, 2025
BACKGROUND: Randomised controlled trials (RCTs) commonly estimate intention-to-treat (ITT) estimands. However, when nonadherence to assigned treatment occurs, ITT estimands reflect the effect of being offered treatment, rather than adhering to it and...
Humans Data Interpretation, Statistical Intention to Treat Analysis Scoping Review as Topic Research Design Randomized Controlled Trials as Topic
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Area under the ROC Curve has the most consistent evaluation for binary classification.

PloS one Dec 23, 2024
The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence whi...
Sample Size Models, Statistical Data Interpretation, Statistical Evaluation Studies as Topic Area Under Curve Machine Learning ROC Curve
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Detecting irregularities in randomized controlled trials using machine learning.

Clinical trials (London, England) Nov 25, 2024
BACKGROUND: Over the course of a clinical trial, irregularities may arise in the data. Trialists implement human-intensive, expensive central statistical monitoring procedures to identify and correct these irregularities before the results of the tri...
Humans Data Interpretation, Statistical Multicenter Studies as Topic Machine Learning Randomized Controlled Trials as Topic Algorithms
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Multi-metric comparison of machine learning imputation methods with application to breast cancer survival.

BMC medical research methodology Aug 30, 2024
Handling missing data in clinical prognostic studies is an essential yet challenging task. This study aimed to provide a comprehensive assessment of the effectiveness and reliability of different machine learning (ML) imputation methods across variou...
Prognosis Female Machine Learning Algorithms Data Interpretation, Statistical Survival Analysis Reproducibility of Results Breast Neoplasms Humans
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Missing data in amortized simulation-based neural posterior estimation.

PLoS computational biology Jun 17, 2024
Amortized simulation-based neural posterior estimation provides a novel machine learning based approach for solving parameter estimation problems. It has been shown to be computationally efficient and able to handle complex models and data sets. Yet,...
Computational Biology Data Interpretation, Statistical Bayes Theorem Algorithms Computer Simulation Neural Networks, Computer Machine Learning Humans
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Improved clinical data imputation via classical and quantum determinantal point processes.

eLife May 9, 2024
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, there is no canon...
Machine Learning Humans Algorithms Data Interpretation, Statistical Reproducibility of Results
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Integrating Machine Learning in Metabolomics: A Path to Enhanced Diagnostics and Data Interpretation.

Small methods Apr 29, 2024
Metabolomics, leveraging techniques like NMR and MS, is crucial for understanding biochemical processes in pathophysiological states. This field, however, faces challenges in metabolite sensitivity, data complexity, and omics data integration. Recent...
Humans Machine Learning Algorithms Deep Learning Data Interpretation, Statistical Metabolomics Metabolome
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Using multivariate pattern analysis to increase effect sizes for event-related potential analyses.

Psychophysiology Mar 22, 2024
Multivariate pattern analysis (MVPA) approaches can be applied to the topographic distribution of event-related potential (ERP) signals to "decode" subtly different stimulus classes, such as different faces or different orientations. These approaches...
Multivariate Analysis Evoked Potentials Electroencephalography Signal Processing, Computer-Assisted Humans Female Male Support Vector Machine Young Adult Data Interpretation, Statistical Adult
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Artificial intelligence and the scientific method: How to cope with a complete oxymoron.

Clinics in dermatology Jan 10, 2024
Artificial intelligence (AI) can be a powerful tool for data analysis, but it can also mislead investigators, due in part to a fundamental difference between classic data analysis and data analysis using AI. A more or less limited data set is analyze...
Artificial Intelligence Data Interpretation, Statistical Humans
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Simulation-based design optimization for statistical power: Utilizing machine learning.

Psychological methods Dec 14, 2023
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo...
Psychology Models, Statistical Data Interpretation, Statistical Humans Research Design Machine Learning Computer Simulation
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