Data analysis and health I

Objectives

 

General characterization

Code

SPHA07

Credits

3

Responsible teacher

Available soon

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Available soon

Prerequisites

 

Bibliography

 

Teaching method

 

Evaluation method

 

Subject matter

Introduction to Biostatistics - fundamental concepts. • Variable measurement scale • Organization of information: tables and graphs • Review of frequency distribution • Descriptive measures of location, dispersion, asymmetry and flattening • Outliers: concept and identification • Pearson and Speraman correlation • Association Measures (Phi coefficient) • Introduction to the study of Probabilities: Some probability distributions: Binomial, Poisson, Student t, Chi-square and Normal. • Introduction to statistical inference: statistical hypothesis, notion of paired and unpaired subjects, levels of significance, type I and type II errors, confidence intervals • Hypothesis testing and its requirements

Programs

Programs where the course is taught: