2 citations · 2 across the 4 of their papers we have counts for
4 papers
The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
Steven Mascaro, Owen Woodberry, Charlie McLeod +5
Loss of lung function in cystic fibrosis (CF) occurs progressively, punctuated by acute pulmonary exacerbations (PEx) in which abrupt declines in lung function are not fully recove…
Comparing verbal, visual and combined explanations for Bayesian Network inferences
Erik P. Nyberg, Steven Mascaro, Ingrid Zukerman +3
Bayesian Networks (BNs) are an important tool for assisting probabilistic reasoning, but despite being considered transparent models, people have trouble understanding them. Furthe…
Causal knowledge engineering: A case study from COVID-19
Steven Mascaro, Yue Wu, Ross Pearson +4
COVID-19 appeared abruptly in early 2020, requiring a rapid response amid a context of great uncertainty. Good quality data and knowledge was initially lacking, and many early mode…
The practice of qualitative parameterisation in the development of Bayesian networks
Steven Mascaro, Owen Woodberry, Yue Wu +1
The typical phases of Bayesian network (BN) structured development include specification of purpose and scope, structure development, parameterisation and validation. Structure dev…