Ty Stanford
Biographic Data
| ID | 7689611 |
|---|---|
| NAME | Ty Stanford |
| GIVEN NAMES | Ty |
| FAMILY NAME | Stanford |
| SIGNATURE | STANFORD T |
| AFFILIATIONS | The University of Adelaide |
| ORCID | 0000-0002-8570-5493 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Bayesian Multilevel Compositional Data Analysis with the R Package multilevelcoda
Multilevel compositional data, such as data sampled over time that are non-negative and sum to a constant value, are common in various fields. However, there is currently no software specifically built to model compositional data in a multilevel framework. The R package multilevelcoda implements a collection of tools for modeling compositional data in a Bayesian multivariate, multilevel pipeline. The user-friendly setup only requires the data, mo…
The association between 24-h movement behaviours and adiposity among Australian preschoolers
Despite the association between more time spent in MVPA and higher BMI z-scores, promoting a balanced amount of time in each 24-h movement behaviour-more MVPA, less sedentary time, and sufficient sleep-remains important for overall health. Future studies should address methodological challenges (e.g. recruitment bias that may exist in the parents/children willing to participate versus the general population, recall bias in parent reported sleep d…
Machine learning-based analysis of adverse events in mesh implant surgery reports
Mesh implant surgery, commonly used for various medical conditions, has been linked to a range of negative effects, significantly impacting patient experiences and outcomes. Additionally, the growing volume of medical data, especially text-based reports, presents challenges in deriving meaningful insights for informed healthcare decisions. To address these challenges, our study extensively analyzed the Manufacturer and User Facility Device Experi…
The Goldilocks Day for healthy adiposity measures among children and adolescents
Background The optimal balance of time spent on daily movement behaviors (“The Goldilocks Day”) associated with childhood obesity remains unknown. Objective To estimate the optimal durations of sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MPVA) associated with excess adiposity in a paediatric population. Methods Accelerometer-measured 24-h movement behaviors were obtained from 659 Czec…
Compositional data analysis for physical activity, sedentary time and sleep research
The health effects of daily activity behaviours (physical activity, sedentary time and sleep) are widely studied. While previous research has largely examined activity behaviours in isolation, recent studies have adjusted for multiple behaviours. However, the inclusion of all activity behaviours in traditional multivariate analyses has not been possible due to the perfect multicollinearity of 24-h time budget data. The ensuing lack of adjustment …
Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children
The compositional isotemporal model caters for the constrained and therefore relative nature of activity behaviour data and enables all daily behaviours to be included in a single statistical model. The traditional model treats data as real variables, thus the constrained nature of time is not accounted for, nor reflected in the findings. Findings from compositional isotemporal substitution support the importance of MVPA to children's health, and…
Human development index, children’s health-related quality of life and movement behaviors
No prominent works on this page.
Compositional data analysis for physical activity, sedentary time and sleep research
The health effects of daily activity behaviours (physical activity, sedentary time and sleep) are widely studied. While previous research has largely examined activity behaviours in isolation, recent studies have adjusted for multiple behaviours. However, the inclusion of all activity behaviours in traditional multivariate analyses has not been possible due to the perfect multicollinearity of 24-h time budget data. The ensuing lack of adjustment …
Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children
The compositional isotemporal model caters for the constrained and therefore relative nature of activity behaviour data and enables all daily behaviours to be included in a single statistical model. The traditional model treats data as real variables, thus the constrained nature of time is not accounted for, nor reflected in the findings. Findings from compositional isotemporal substitution support the importance of MVPA to children's health, and…
Human development index, children’s health-related quality of life and movement behaviors
The Goldilocks Day for healthy adiposity measures among children and adolescents
Background The optimal balance of time spent on daily movement behaviors (“The Goldilocks Day”) associated with childhood obesity remains unknown. Objective To estimate the optimal durations of sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MPVA) associated with excess adiposity in a paediatric population. Methods Accelerometer-measured 24-h movement behaviors were obtained from 659 Czec…
Machine learning-based analysis of adverse events in mesh implant surgery reports
Mesh implant surgery, commonly used for various medical conditions, has been linked to a range of negative effects, significantly impacting patient experiences and outcomes. Additionally, the growing volume of medical data, especially text-based reports, presents challenges in deriving meaningful insights for informed healthcare decisions. To address these challenges, our study extensively analyzed the Manufacturer and User Facility Device Experi…
The association between 24-h movement behaviours and adiposity among Australian preschoolers
Despite the association between more time spent in MVPA and higher BMI z-scores, promoting a balanced amount of time in each 24-h movement behaviour-more MVPA, less sedentary time, and sufficient sleep-remains important for overall health. Future studies should address methodological challenges (e.g. recruitment bias that may exist in the parents/children willing to participate versus the general population, recall bias in parent reported sleep d…
Bayesian Multilevel Compositional Data Analysis with the R Package multilevelcoda
Multilevel compositional data, such as data sampled over time that are non-negative and sum to a constant value, are common in various fields. However, there is currently no software specifically built to model compositional data in a multilevel framework. The R package multilevelcoda implements a collection of tools for modeling compositional data in a Bayesian multivariate, multilevel pipeline. The user-friendly setup only requires the data, mo…
Medicine (6 works) · Nutritional Studies and Diet (5 works) · Obesity, Physical Activity, Diet (4 works) · Demography (3 works) · Environmental health (3 works) · Internal Medicine (3 works) · Physical activity (3 works) · Physical therapy (3 works) · Compositional data (2 works) · Computer Science (2 works)