Erica R Appleman, Karina Stavitsky Gilbert, Rhoda Au
School start time changes and sleep patterns in elementary school students
Sleep health
today cardiovascular disease cvd important cause death around world study main aim predict cvd using important indicators disease present treebased statistical framework detecting cvd patients according indicators used data baseline phase fasa cohort study facs outcome variable presence cvd ordinary tree generalized linear mixed models glmm fitted data predictive power detecting cvd compared obtained results glmm tree statistical analysis performed using rstudio software data 9499 participants aged 3570 years analyzed results multivariable mixedeffects logistic regression model revealed participants age total cholesterol marital status smoking status glucose history cardiac disease myocardial infarction mi first seconddegree relatives presence diseases like hypertension depression chronic headaches thyroid disease significantly related presence cvd p005 fitting ordinary tree glmm glmm tree resulted area curve auc values 058 056 061 081 077 084 080 076 083 respectively among study population addition tree model best specificity 81 lowest sensitivity 65 compared models given superior performance glmm tree compared standard tree lack significant difference glmm using model suggested due simpler interpretation fewer assumptions using updated statistical models accurate cvd prediction result precise frameworks aid proactive patient detection planning