3 citations · 4 across the 5 of their papers we have counts for
7 papers
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 primary importance of the research question: Implications for understanding natural versus controlled direct effects and the 'cross-world independence assumption'
Ian Shrier, Etsuji Suzuki
When developing new interventions to minimize the harmful effects of an exposure, investigators usually target the mechanisms that mediate the causal effect of the exposure on the…
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…
Bayesian Nonparametric Modeling of Heterogeneous Groups of Censored Data
Alexandre Piché, Russell Steele, Ian Shrier +1
Datasets containing large samples of time-to-event data arising from several small heterogeneous groups are commonly encountered in statistics. This presents problems as they canno…