Biostatistical Inference and Predictive Analytics Using Cardiovascular Study Data

In this chapter, we will implement an exemplar project from cardiology biostatistics. We learned about biostatistical inference and predictive analysis in previous chapters and now, we will implement specific statistical solutions and answer different research questions on real-life data from cardiology. We will be using new data this time, but we will use the same principle we learned about in the previous four chapters.

In this chapter, we’re going to cover the following main topics:

• The Cleveland dataset
• Loading and examining cardiovascular data in Python
• Hypothesis tests applied to evaluate mean differences
• Linear regression for cardiovascular predictive analysis
• Using logistic regression to derive an odds ratio (OR) for categorical variables