Behavioral variability is quietly sabotaging clinical trials—but it doesn't have to. Here's how predictive behavioral modeling can improve trial design, reduce dropout, and deliver more inclusive, ...
A research team from the Hong Kong University of Science and Technology (HKUST) has developed a novel AI-powered tool named ...
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as ...
Missing data are a major hindrance to statistical analysis because standard methods require the missing values to be imputed first. AMELIA and MICE fiare two popular imputation methods, but their ...
Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...
Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that ...
The global type 1 diabetes (T1D) burden continues to increase rapidly, driven by rising cases, aging populations, improved diagnosis and falling death rates, according to the results of a new modeling ...
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