DNA methylation-based predictors of health: applications and statistical considerations

PD Yousefi, M Suderman, R Langdon… - Nature Reviews …, 2022 - nature.com
DNA methylation data have become a valuable source of information for biomarker
development, because, unlike static genetic risk estimates, DNA methylation varies …

[HTML][HTML] Systematic review and meta-analysis to examine intrapartum interventions, and maternal and neonatal outcomes following immersion in water during labour …

E Burns, C Feeley, PJ Hall, J Vanderlaan - BMJ open, 2022 - bmjopen.bmj.com
Objectives Water immersion during labour using a birth pool to achieve relaxation and pain
relief during the first and possibly part of the second stage of labour is an increasingly …

[HTML][HTML] FASDetect as a machine learning-based screening app for FASD in youth with ADHD

L Ehrig, AC Wagner, H Wolter, CU Correll… - npj Digital …, 2023 - nature.com
Fetal alcohol-spectrum disorder (FASD) is underdiagnosed and often misdiagnosed as
attention-deficit/hyperactivity disorder (ADHD). Here, we develop a screening tool for FASD …

[HTML][HTML] A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19

I Bendavid, L Statlender, L Shvartser, S Teppler… - Scientific Reports, 2022 - nature.com
In hypoxemic patients at risk for developing respiratory failure, the decision to initiate
invasive mechanical ventilation (IMV) may be extremely difficult, even more so among …

[HTML][HTML] Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort …

RS Vasan, E van den Heuvel - The Lancet Digital Health, 2022 - thelancet.com
Background Sex-specific and race-specific pooled cohort equations (PCEs) are
recommended for estimating the 10-year risk of cardiovascular disease, with an absolute …

Dealing with small samples in football research

A Hecksteden, R Kellner, L Donath - Science and medicine in …, 2022 - Taylor & Francis
In football research,'small'trials with low statistical power are common. On the elite level, the
inherently low number of participants obviously conflicts with the relevance of even tiny …

[HTML][HTML] A scoping review of causal methods enabling predictions under hypothetical interventions

L Lin, M Sperrin, DA Jenkins, GP Martin… - Diagnostic and prognostic …, 2021 - Springer
Background The methods with which prediction models are usually developed mean that
neither the parameters nor the predictions should be interpreted causally. For many …

[HTML][HTML] A causal framework for making individualized treatment decisions in oncology

P Msaouel, J Lee, JA Karam, PF Thall - Cancers, 2022 - mdpi.com
Simple Summary Physicians routinely make individualized treatment decisions by
accounting for the joint effects of patient prognostic covariates and treatments on clinical …

[HTML][HTML] English Bulldogs in the UK: a VetCompass study of their disorder predispositions and protections

DG O'Neill, A Skipper, RMA Packer, C Lacey… - Canine Medicine and …, 2022 - Springer
Abstract Background The English Bulldog has risen sharply in popularity over the past
decade but its distinctive and extreme conformation is linked to several serious health …

Predictive models for clinical decision making: Deep dives in practical machine learning

S Eloranta, M Boman - Journal of Internal Medicine, 2022 - Wiley Online Library
The deployment of machine learning for tasks relevant to complementing standard of care
and advancing tools for precision health has gained much attention in the clinical …