Application

This work examines the causal impact of stroke and myocardial infarction on self-rated health, revealing a negative effect on individuals’ perceptions of having very good or excellent health and highlighting the importance of interventions to support subjective health in aging populations.

This work employs several machine learning techniques to predict Titanic passenger survival, confirming that women and wealthy individuals were more likely to survive, with the Conditional Forest method achieving the highest accuracy of 81.34%.

This work evaluates the efficacy of Diclectin for nausea and vomiting during pregnancy (NVP) using a double-blind randomized controlled trial, finding that statistical inferences about its effectiveness depend on the choice of missing data methods and models, with results suggesting its benefit is not clinically significant under the pre-specified minimal clinically important difference.