Biostatistics and Epidemiology

4 ECTS / Annual / English

This CU is transversal in the first year of the curriculum.

Intended learning outcomes (knowledge, skills and competences to be developed by the students)

  • Understand and apply essential concepts of Epidemiology
  • Knowledge and apply about epidemiological studies
  • Interpret the basic demographic characteristics of a population through a population pyramid
  • Prepare a contingency table to be able to interpret study results and calculate relative risks, odds ratios, sensitivity, specificity, positive predictive values, negative predictive values and precision
  • Calculate measures of frequency
  • Understand the Bradford-Hill causality criteria
  • Understand the definition and purposes of epidemiological surveillance
  • Understand essential biostatistical concepts, data collection methods and sampling
  • Comparison between two proportions in independent samples and paired samples, logistic regression, linear regression, and rate comparison
  • Correctly interpret the various hypothesis tests
  • Understand Database principles, concepts, models and technologies
  • Understand statistical techniques using SPSS software



  • Review of basic concepts used in Epidemiology
  • The role of the Epidemiology and Biostatistics in research Population dynamics and health: factors of population dynamics
  • Descriptive and analytical observational epidemiological studies
  • Epidemiological studies: experimental and quasi-experimental studies
  • Meta-analysis: definition and interpretation of the results of a study Bradford-Hill causality criteria
  • Diagnostic tests
  • Epidemiological characters: person, time, place
  • Epidemiological surveillance
  • Problems in epidemiological studies: bias and confounding
  • Validity and accuracy
  • Introduction to Databases and framing in the area of Information Systems Database Management Systems
  • Planning a study and Exploratory Data Analysis
  • Concept of a Statistical Test
  • Tests to compare independent samples
  • Confidence intervals
  • Relative risk, odds ratio
  • Survival analysis: Kaplan-Meyer, log-rank test


Assistant Professor
Participation in Católica Medical School Coordination of the curricular unit Biostatistics and Epidemiology