AI Medical Compendium Journal:
Statistical methods in medical research

Showing 11 to 18 of 18 articles

Spatial extreme learning machines: An application on prediction of disease counts.

Statistical methods in medical research
Extreme learning machines have gained a lot of attention by the machine learning community because of its interesting properties and computational advantages. With the increase in collection of information nowadays, many sources of data have missing ...

Leveraging electronic health records for predictive modeling of post-surgical complications.

Statistical methods in medical research
Hospital-specific electronic health record systems are used to inform clinical practice about best practices and quality improvements. Many surgical centers have developed deterministic clinical decision rules to discover adverse events (e.g. postope...

A doubly robust approach for cost-effectiveness estimation from observational data.

Statistical methods in medical research
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...

Construction of longitudinal prediction targets using semisupervised learning.

Statistical methods in medical research
In establishing prognostic models, often aided by machine learning methods, much effort is concentrated in identifying good predictors. However, the same level of rigor is often absent in improving the outcome side of the models. In this study, we fo...

The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching.

Statistical methods in medical research
Consistency of the propensity score estimators rely on correct specification of the propensity score model. The propensity score is frequently estimated using a main effect logistic regression. It has recently been shown that the use of ensemble mach...

Fitting the data from embryo implantation prediction: Learning from label proportions.

Statistical methods in medical research
Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques for ...

A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies.

Statistical methods in medical research
BACKGROUND: Recent literature on the comparison of machine learning methods has raised questions about the neutrality, unbiasedness and utility of many comparative studies. Reporting of results on favourable datasets and sampling error in the estimat...

The limitations of simple gene set enrichment analysis assuming gene independence.

Statistical methods in medical research
Since its first publication in 2003, the Gene Set Enrichment Analysis method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned. Recently a simplified approach using a one-sample t-test score to assess en...