Each data type requires specific analytical techniques:
Descriptive Statistics: Summarize and describe the features of a dataset (e.g., mean, median, mode for continuous data; frequencies for categorical data). Inferential Statistics: Make inferences about a population based on a sample (e.g., hypothesis testing, confidence intervals). Regression Analysis: Assess relationships between variables (e.g., linear regression for continuous outcomes, logistic regression for binary outcomes). Survival Analysis: Examine time-to-event data (e.g., Kaplan-Meier curves, Cox proportional hazards model).
