3 citations · 4 across the 5 of their papers we have counts for
6 papers
A generative approach to frame-level multi-competitor races
Tyrel Stokes, Gurashish Bagga, Kimberly Kroetch +2
Multi-competitor races often feature complicated within-race strategies that are difficult to capture when training data on race outcome level data. Further, models which do not ac…
Simulation Experiments as a Causal Problem
Tyrel Stokes, Ian Shrier, Russell Steele
Simulation methods are among the most ubiquitous methodological tools in statistical science. In particular, statisticians often is simulation to explore properties of statistical…
Injury risk increases minimally over a large range of changes in activity level in children
Chinchin Wang, Tyrel Stokes, jorge Trejo Vargas +3
Background: Limited research exists on the association between changes in physical activity levels and injury in children. Objective: To assess how well different variations of the…
Implementing multiple imputation for missing data in longitudinal studies when models are not feasible: A tutorial on the random hot deck approach
Chinchin Wang, Tyrel Stokes, Russell Steele +2
Objective: Researchers often use model-based multiple imputation to handle missing at random data to minimize bias while making the best use of all available data. However, there a…
Causal Simulation Experiments: Lessons from Bias Amplification
Tyrel Stokes, Russell Steele, Ian Shrier
Recent theoretical work in causal inference has explored an important class of variables which, when conditioned on, may further amplify existing unmeasured confounding bias (bias…
The acute:chronic workload ratio: challenges and prospects for improvement
Chinchin Wang, Jorge Trejo Vargas, Tyrel Stokes +2
Injuries occur when an athlete performs a greater amount of activity (workload) than what their body can absorb. To maximize the positive effects of training while avoiding injurie…