AIMC Topic: Models, Statistical

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Model-informed approach to estimate treatment effect in placebo-controlled clinical trials using an artificial intelligence-based propensity weighting methodology to account for non-specific responses to treatment.

Journal of pharmacokinetics and pharmacodynamics Dec 10, 2024
In randomized, placebo controlled clinical trials (RCT) in major depressive disorders (MDD), treatment response (TR) is estimated by the change from baseline at study-end (EOS) of the scores of clinical scales used for assessing disease severity. Tre...
Propensity Score Antidepressive Agents Placebo Effect Treatment Outcome Models, Statistical Randomized Controlled Trials as Topic Artificial Intelligence Depressive Disorder, Major Humans
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Frequency-adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction.

The British journal of mathematical and statistical psychology Dec 8, 2024
Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where traditionally parametric statistical models like the proportional odds model have been used, machine learning (ML) methods such as random forest (RF) ...
Psychometrics Educational Measurement Models, Statistical Algorithms Computer Simulation Humans Machine Learning
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Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks.

International journal of pharmaceutics Dec 4, 2024
Development of materials by mixing different base components is a widespread methodology to create materials with improved properties compared to those of its base components. However, efficient determination of the properties of mixture-based materi...
Drug Compounding Technology, Pharmaceutical Chemistry, Pharmaceutical Neural Networks, Computer Models, Statistical Tablets Tensile Strength Excipients
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Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach.

BMC medical informatics and decision making Dec 2, 2024
INTRODUCTION: Stunting affects one-fifth of children globally with diarrhea accounting for an estimated 13.5% of stunting. Identifying risk factors for its precursor, linear growth faltering (LGF), is critical to designing interventions. Moreover, de...
Female Models, Statistical Male Kenya Infant Growth Disorders Diarrhea Child, Preschool Rural Population Humans Machine Learning Retrospective Studies
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Predicting the time to get back to work using statistical models and machine learning approaches.

BMC medical research methodology Nov 29, 2024
BACKGROUND: Whether machine learning approaches are superior to classical statistical models for survival analyses, especially in the case of lack of proportionality, is unknown.
Humans Survival Analysis Machine Learning Proportional Hazards Models Return to Work Support Vector Machine Algorithms Male Models, Statistical Female Middle Aged Adult Time Factors
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Machine learning in causal inference for epidemiology.

European journal of epidemiology Nov 13, 2024
In causal inference, parametric models are usually employed to address causal questions estimating the effect of interest. However, parametric models rely on the correct model specification assumption that, if not met, leads to biased effect estimate...
Epidemiology Likelihood Functions Epidemiologic Methods Machine Learning Humans Causality Models, Statistical
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Mitigating biases in feature selection and importance assessments in predictive models using LASSO regression.

Oral oncology Nov 1, 2024
Yuan et al. developed a predictive model for early response using sub-regional radiomic features from multi-sequence MRI alongside clinical factors. However, biases in feature selection and assessment may lead to misleading conclusions regarding feat...
Humans Machine Learning Magnetic Resonance Imaging Models, Statistical Bias
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An Efficient Muscle Segmentation Method via Bayesian Fusion of Probabilistic Shape Modeling and Deep Edge Detection.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: Paraspinal muscle segmentation and reconstruction from MR images are critical to implement quantitative assessment of chronic and recurrent low back pains. Due to unclear muscle boundaries and shape variations, current segmentation methods...
Magnetic Resonance Imaging Adult Low Back Pain Humans Paraspinal Muscles Algorithms Models, Statistical Deep Learning Imaging, Three-Dimensional Bayes Theorem
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Fixing imbalanced binary classification: An asymmetric Bayesian learning approach.

PloS one Oct 16, 2024
Most statistical and machine learning models used for binary data modeling and classification assume that the data are balanced. However, this assumption can lead to poor predictive performance and bias in parameter estimation when there is an imbala...
Bayes Theorem Humans Algorithms Machine Learning Logistic Models Models, Statistical
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Deep Neural Network-Based Accelerated Failure Time Models Using Rank Loss.

Statistics in medicine Oct 12, 2024
An accelerated failure time (AFT) model assumes a log-linear relationship between failure times and a set of covariates. In contrast to other popular survival models that work on hazard functions, the effects of covariates are directly on failure tim...
Humans Models, Statistical Survival Analysis Proportional Hazards Models Neural Networks, Computer Computer Simulation Deep Learning
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