ID:
508344
Duration (hours):
48
CFU:
6
SSD:
STATISTICA MEDICA
Year:
2025
Overview
Date/time interval
Primo Semestre (24/09/2025 - 16/01/2026)
Syllabus
Course Objectives
The aims of Biostatistics and Research Methodology course are:
- to acquire the knowledge for proper planning, conducting and analysing research in the biotechnology field
- to develop the skills to properly plan a research and carry out statistical analysis techniques
- to develop the ability to critically evaluate the results from the applied statistical analyses and to communicate the evidences in an appropriate scientifically language.
At the end of the course the student will be able to apply the drafting of experimental research protocol in biotechnology field, to carry out analyses of data from experimental studies and to interpret them critically. The students will have to explain the knowledge and skills acquired, knowing how to change their action according to the experimental situations proposed.
- to acquire the knowledge for proper planning, conducting and analysing research in the biotechnology field
- to develop the skills to properly plan a research and carry out statistical analysis techniques
- to develop the ability to critically evaluate the results from the applied statistical analyses and to communicate the evidences in an appropriate scientifically language.
At the end of the course the student will be able to apply the drafting of experimental research protocol in biotechnology field, to carry out analyses of data from experimental studies and to interpret them critically. The students will have to explain the knowledge and skills acquired, knowing how to change their action according to the experimental situations proposed.
Course Prerequisites
The course of Biostatistics and research methodology is part of the Biotechnologist's training who will have to carry out own activity in the field of biomedical research as well as pharmaceutical and basic research. The student must have an adequate mastery of the Statistics topics covered in the 1st year Mathematics and Statistics course in order to better follow what will be covered in this course.
Teaching Methods
The teaching activity includes theoretical and applied lectures. Starting from research questions and dataset derived from situations that simulate the contexts in which a future Biotechnologist might find themselves working, students will acquire the skills necessary for planning experimental and non-experimental studies as well as for applying biostatistical analyses, developing critical thinking. The problem solving approach will be used. Cooperative learning will be used as a teaching method in the 1st part of course (Research methodology) too. During practical biostatistics lessons, students will be introduced to statistical analyses using Excel tool.
Assessment Methods
The final examination is composed by written and oral test: the written test will be relative to the part of Biostatistics and the oral test for that of Research methodology in which the teaching activity is divided. The evaluation in both two tests is in 30th. Taking into account the proportion between the two different part of the program, written and oral test contribute to 67% and to 33% of the final grade out in thirtieths, respectively. In the written test using laptop, the student must demonstrate not only the ability to apply the most appropriate techniques of analysis (knowledge and skills), but to interpret the results obtained and communicate in a scientifically correct manner the output (competence). For students who have attended at least 75% of the lessons, the oral examination will be a project work assigned to groups (cooperation learning) at the end of the lessons. If a student prefers to work alone, she/he must inform the professor. The student will have to show that she/he has acquired both the adequate theoretical knowledge underlying the planning of a research protocol and the ability to write (knowledge and skills) and / or critically evaluate (competence) the research protocol assigned as project work (problem solving approach). For students who have not taken 75% of the lesson hours, the examination will always be oral and will cover the whole course programme. In both examinations, the assessment will take into account the ability to communicate and the use of an appropriate scientific language. Only if 18/30 is achieved in the written test, it will be possible to make the oral section. In accordance with Italian regulations, students with specific learning disability are entitled to the compensatory measures recommended by the SAISD Centre of Pavia University.
Texts
- Fondamenti di ricerca clinica. 2004. Springer Verlag - Nancy A Dreyer, Parivash Nourjah, Scott R Smith, and Marion M Torchia. Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide". Editors: Priscilla Velentgas, 2013 (https://www.ncbi.nlm.nih.gov/books/NBK126190/) - MC Whitlock, D Schluter. Analisi statistica dei dati biologici. 2022, Zanichelli, 2nd edition (with elements both of Research Methodology and Biostatistics); e-book available (previous edition are also fine) - Triola, Triola, Roy. Fondamenti di Statistica per le discipline biomediche. 2022 Pearson, 2nd edition; ebook available (previous edition are also fine) - Daniel, Cross. Biostatistica. 2019, Edises. (with elements of Biostatistics). e-book available For the applied statistics in Excel: - Villani, Borrelli. EXCEL & Statistica Medica. Quaderni di Epidemiologia. 2013, Medea. e-book available. Additional material for individual study will be uploaded to the Kiro platform.
Contents
The program of course is composed by two part.
1st Part: methodology of research (16 hours)
Introduction to preclinical studies, experimental and observational epidemiological studies.
How to ensure the validity of preclinical and clinical research: starting points.
Bias and bias control.
The research protocol for preclinical studies on animals and for experimental studies on humans:
- essential points and how to lay it out
- sample size estimation.
The research protocol for observational case-control and cohort studies.
Overview of the regulatory aspects on the Ethical Commettees and Animal Welfare Bodies.
2nd Part: Biostatistics (32 hours)
1. Introduction to Excel use.
2. Descriptive statistics:
- main descriptive statistics for quantitative variables (how to compute them and to understand the outputs)
- pivot tables for one variable or crossing two variables (how to compute them and to understand the outputs)
- correlation coefficient (how to compute them and to understand the outputs)
- graphics
3. Inferential statistics:
- Parametric unpaired and paired t-test: how to compute them and to understand the outputs.
- Test on homogeneity of variance: how to compute them and to understand the outputs.
- Oneway analysis of variance: how to compute them and to understand the outputs.
- Chi-squared test: how to compute them and to understand the outputs.
- Linear regression model: how to compute them and to understand the outputs.
- Non parametric test (notes)
1st Part: methodology of research (16 hours)
Introduction to preclinical studies, experimental and observational epidemiological studies.
How to ensure the validity of preclinical and clinical research: starting points.
Bias and bias control.
The research protocol for preclinical studies on animals and for experimental studies on humans:
- essential points and how to lay it out
- sample size estimation.
The research protocol for observational case-control and cohort studies.
Overview of the regulatory aspects on the Ethical Commettees and Animal Welfare Bodies.
2nd Part: Biostatistics (32 hours)
1. Introduction to Excel use.
2. Descriptive statistics:
- main descriptive statistics for quantitative variables (how to compute them and to understand the outputs)
- pivot tables for one variable or crossing two variables (how to compute them and to understand the outputs)
- correlation coefficient (how to compute them and to understand the outputs)
- graphics
3. Inferential statistics:
- Parametric unpaired and paired t-test: how to compute them and to understand the outputs.
- Test on homogeneity of variance: how to compute them and to understand the outputs.
- Oneway analysis of variance: how to compute them and to understand the outputs.
- Chi-squared test: how to compute them and to understand the outputs.
- Linear regression model: how to compute them and to understand the outputs.
- Non parametric test (notes)
Course Language
Italian
More information
The plan of the course is based on practical section using personal computer. So to each student is required to have a laptop/tablet with Excel program. A PC from UNIPV will be made available to the students who have not an own laptop/tablet.
Degrees
Degrees
BIOTECHNOLOGY
Bachelor’s Degree
3 years
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