Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/d41586-023-03391-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection.
PLoS One
January 2025
Tactical Research Unit, Bond University, Robina, QLD, Australia.
Police tactical group (PTG) officers respond to the most demanding and high-risk police situations. As such, PTG personnel require exceptional physical fitness, and selection for employment often evaluates fitness both directly and indirectly. While heart rate (HR) is often used to measure physical effort, heart rate variability (HRV) may be a valuable tool for measuring stress holistically.
View Article and Find Full Text PDFA Simple Sensitivity Analysis Method for Unmeasured Confounders via Linear Programming With Estimating Equation Constraints.
Stat Med
February 2025
Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan.
In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely used. If the propensity scores are known for all the subjects, bias due to confounders can be adjusted by using the inverse probability weighting (IPW) by the propensity score.
View Article and Find Full Text PDFA Varying-Coefficient Additive Hazard Model for Recurrent Events Data.
Stat Med
February 2025
Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore.
The additive hazard model, which focuses on risk differences rather than risk ratios, has been widely applied in practice. In this paper, we consider an additive hazard model with varying coefficients to analyze recurrent events data. The model allows for both varying and constant coefficients.
View Article and Find Full Text PDFBioequivalence Design With Sampling Distribution Segments.
Stat Med
February 2025
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
In bioequivalence design, power analyses dictate how much data must be collected to detect the absence of clinically important effects. Power is computed as a tail probability in the sampling distribution of the pertinent test statistics. When these test statistics cannot be constructed from pivotal quantities, their sampling distributions are approximated via repetitive, time-intensive computer simulation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!