Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Abstract: For system dynamics simulation (SD) models, an estimation of statistical distributions for uncertain parameters is crucial. These distributions could be used for testing models sensitivity, ...

Abstract: Currently, integrating mathematical-physical (MP) knowledge into the deep learning (DL) model in an interpretable manner for tropical cyclone (TC) intensity estimation and prediction remains ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...

my_ttest <- function(mean1, sd1, n1, mean2, sd2, n2, alpha) { df = ((sd1**2/n1 + sd2**2/n2)**2 )/( (sd1**2/n1)**2/(n1-1) + (sd2**2/n2)**2/(n2-1) ) t = qt(p=1 - alpha ...

Abstract: With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sources to enable reproducible scientific ...

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