Random forests can effectively predict continuous, categorical, or survival outcomes using a combination of time-fixed and time-dependent predictors, handling issues such as endogenous predictors, measurement error, and irregular measurement times.
BMI and insulin levels impact serum sOb-R.
Brown fat serves as a nutrient sink, utilizing glucose and lactate for thermogenesis, offering potential in combating obesity and other health conditions.
Placental inflammation can have protective effects on adult cardiovascular and depressive outcomes, with disruptions in placental cell function potentially contributing to increased risks.
Sex-specific kidney metabolism impacts diabetic kidney disease outcomes.
Vitamin D levels do not significantly affect clinical features of EoE.
Self-report measures like the Visual Analogue Scale (VAS) are influenced by response styles, impacting subjective health evaluations. A novel method for characterizing response profiles in VAS data was developed, enabling RP heterogeneity-aware analysis.
Developed a novel method to characterize response styles in VAS data, addressing RS heterogeneity and unbalanced data through mixture distributions and bootstrap sampling.