2.1 : 생물통계학: 개요

Biostatistics is the application of statistical methods to analyze data by conducting experiments to gather evidence and drawing conclusions based on rigorous analysis.

Variables help comprehend biostatistical data. They are classified as discrete, random, continuous, dependent, and independent variables.

Discrete variables are characterized by specific values, such as the number of children in a family or the presence of a particular genetic trait.

Random variables introduce uncertainty, as their values cannot be predicted before experimentation. One example is the probability of contracting a disease or the likelihood of treatment success.

Continuous variables encompass a wide range of values within a specific range, such as height, weight, or blood pressure readings.

Dependent variables are influenced by other factors, such as the impact of medication on patient pharmacokinetic parameters or the association between smoking and lung cancer incidence.

On the other hand, independent variables are unaffected by external factors and help assess causal relationships.