Summary
In this chapter, we performed a real-life biostatistical analysis in cardiology using the Cleveland heart disease dataset. First, we learned about the biological foundation of cardiological aspects, such as coronary arterial disease, maximum heart rate in stress tests, electrocardiogram, and ST depression. Further, we discussed the relation between these cardiovascular events and complications, such as myocardial infarction.
We developed linear-regression-based predictive models with the goal of evaluating the association between ST depression and maximum heart rate during a cardiovascular stress test. Finally, we developed a predictive model where the target variable was CAD and the predictor was ST depression on an electrocardiogram.
In the next chapter, we will discuss clinical study design and how to pay attention to both biological and statistical aspects when designing studies in clinical research.
