11 citations · 14 across the 4 of their papers we have counts for
4 papers
Bayesian multilevel compositional data analysis with the R package multilevelcoda
Flora Le, Dorothea Dumuid, Tyman E. Stanford +1
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 softwa…
Bayesian multilevel compositional data analysis: introduction, evaluation, and application
Flora Le, Tyman E. Stanford, Dorothea Dumuid +1
Multilevel compositional data are data that are repeatedly measured or clustered within groups and are non-negative and sum to a constant value. These data arise in various setting…
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes
Yue Xie, Aneta Neumann, Ty Stanford +3
How someone allocates their time is important to their health and well-being. In this paper, we show how evolutionary algorithms can be used to promote health and well-being by opt…
Informed baseline subtraction of proteomic mass spectrometry data aided by a novel sliding window algorithm
Tyman E. Stanford, Christopher J. Bagley, Patty J. Solomon
Proteomic matrix-assisted laser desorption/ionisation (MALDI) linear time-of-flight (TOF) mass spectrometry (MS) may be used to produce protein profiles from biological samples wit…