Using tree-based machine learning for health studies: literature review and case series
Tree-based machine learning methods have gained traction in the statistical and data
science fields. They have been shown to provide better solutions to various research …
science fields. They have been shown to provide better solutions to various research …
Risk factors and comorbidities associated to cardiovascular disease in Qatar: a machine learning based case-control study
Cardiovascular disease (CVD) is reported to be the leading cause of mortality in the middle
eastern countries, including Qatar. But no comprehensive study has been conducted on the …
eastern countries, including Qatar. But no comprehensive study has been conducted on the …
Social determinants, cardiovascular disease, and health care cost: a nationwide study in the United States using machine learning
Background Existing studies on cardiovascular diseases (CVDs) often focus on individual‐
level behavioral risk factors, but research examining social determinants is limited. This …
level behavioral risk factors, but research examining social determinants is limited. This …
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning
Variable selection in the presence of both missing covariates and outcomes is an important
statistical research topic. Parametric regression are susceptible to misspecification, and as a …
statistical research topic. Parametric regression are susceptible to misspecification, and as a …
Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis
ABSTRACT The National Lung Screening Trial (NLST) found that low-dose computed
tomography (LDCT) screening provided lung cancer (LC) mortality benefit compared to …
tomography (LDCT) screening provided lung cancer (LC) mortality benefit compared to …
How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?
D Brousmiche, C Lanier, D Cuny, C Frevent… - Science of The Total …, 2023 - Elsevier
Background Cardiovascular diseases remain the leading cause of death and disabilities
worldwide, with coronary heart diseases being the most frequently diagnosed. Their …
worldwide, with coronary heart diseases being the most frequently diagnosed. Their …
Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach
Background To identify and rank the importance of key determinants of high medical
expenses among breast cancer patients and to understand the underlying effects of these …
expenses among breast cancer patients and to understand the underlying effects of these …
[HTML][HTML] Machine learning to identify and understand key factors for provider-patient discussions about smoking
We sought to identify key determinants of the likelihood of provider-patient discussions
about smoking and to understand the effects of these determinants. We used data on 3666 …
about smoking and to understand the effects of these determinants. We used data on 3666 …
[HTML][HTML] A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung …
In the absence of a randomized experiment, a key assumption for drawing causal inference
about treatment effects is the ignorable treatment assignment. Violations of the ignorability …
about treatment effects is the ignorable treatment assignment. Violations of the ignorability …
A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection
L Hu - Biometrical Journal, 2024 - Wiley Online Library
We recently developed a new method random‐intercept accelerated failure time model with
Bayesian additive regression trees (riAFT‐BART) to draw causal inferences about …
Bayesian additive regression trees (riAFT‐BART) to draw causal inferences about …