# Biomedical Statistics and Epidemiology

Course Code : | 1045FBDDIE |

Study domain: | Veterinary Medicine |

Academic year: | 2017-2018 |

Semester: | 1st semester |

Contact hours: | 50 |

Credits: | 5 |

Study load (hours): | 140 |

Contract restrictions: | Exam contract not possible |

Language of instruction: | Dutch |

Exam period: | exam in the 1st semester |

Lecturer(s) | Erik Fransen |

### 1. Prerequisites *

At the start of this course the student should have acquired the following competences:

an active knowledge of

general notion of the basic concepts of

specific prerequisites for this course

- competences corresponding the final attainment level of secondary school

an active knowledge of

- Dutch

- English

- general knowledge of the use of a PC and the Internet

general notion of the basic concepts of

using a PC and the internet

specific prerequisites for this course

Elementary probability theory

### 2. Learning outcomes *

- Understand the role and the necessity of statistical testing in scientific research
- Ability to carry out descriptive statistics and graphs, and use these results for quality control on the data, and dealing with outlying observations in a scientifically sound way
- Getting insight into the basis principles of statistics, including probability density functions, sampling theory, central limit theorem, and understanding how these form the basis of parameter estimation, hypothesis testing, p-values and the distinction between parametric and nonparametric statistics
- The ability to identify the correct research question and null hypothesis for a given scientific problem, and the application of the correct statistical analysis to answer this research question
- to interpret the outcome of a statistical analysis (generated with SPSS
- In the Epidemiology part of the course, the student should understand the scope of epidemiological research, describe the different types of epidemiological studies and the frequncy measures estimated in these studies. Student should understand the concepts of precision and validity of a test, including the concepts bias and confounding. To judge the quality of a diagnostic test in terms of association measures like sensitivity, specificity etc.

### 3. Course contents *

The statistics part of the course consists of a theoretical part and a practical part, the latter being the most important one.

- The theory part gives a conceptual introduction to the basic principles of statistics including probability density disctributions, sampling theory, central limit theorem, statistical inference, principles of hypothesis testing and statistical errors (type 1 and type2). The theoretical concepts are illustrated using simulations. in the practicals
- Most of thecomputer practicals are dedicated to the application of statistical hypothesis testing (using the software package SPSS) s to solve different research question. In particular, the student has to decide which statistical test is the most appropriate, in terms of the research question and the types of variables involded. For most tests, a papametric and a non-parametric option is available, and we teach how to decide between these two technique by testing the model assumptionss. Statistical test sand analyses covered in this course inlude
- Independent sample t-test / Mann-Withney U-test
- Paired sample t-test / Wilcoxon signied rank test
- Chi-square test /Fischer exact test
- One-way ANOVA (+ posthoc test) / Kruskal-Wallis test
- SImple linear regression
- Correlation analysis

- In addition, we dedicate time to visualizing data using graphs, descriptive statistics ,quality control of scientific data, dealing with outliers, and scientific reporting.

The Epidemiology part consists of 3 theoretical lessons, convering the basics principles of epidemiology

- Scorpe of epidemiological research
- Frequency measures (prevalence and incidence)
- Types of epidemiological studies and the association measures estimated using thes studies
- Judging the quality of diagnostic tests (sensitivity, specificity,...)
- Precision and validity of a study
- Bias and confounding

### 4 International dimension*

### 5. Teaching method and planned learning activities

Class contact teachingLectures Seminars/Tutorials

Personal workExercises

Directed self-study

Others

Personal work

Directed self-study

**5.3 Facilities for working students ***Others

Attendance to the practical trainings and excursions is compulsory. Illegitimate absence during one or more practical trainings/excursions may lead to the mention “absent” for the entire part of practical trainings/excursions and exclusion from any practical training exam.

### 6. Assessment method and criteria

ExaminationWritten exam: electronic Closed book Multiple-choice Open-question Practical examination

Continuous assessmentAssignments

Continuous assessment

### 7. Study material *

#### 7.1 Required reading

Aviva Petrie en Carolin Sabin: Medical Statistics at a Glance, Blackwell Publishing, 2nd ed. 2005.