Teachings

English for Research Publication and Presentation Purposes - part 1 (C1 Level)

 

The aim of the English for Research Publication and Presentation Purposes course (C1 Level) is to help the first year PhD candidates of this PhD Course to develop both their academic writing skills and academic speaking skills. PhD candidates will learn to handle all the writing strategies in order to write effective scientific articles and become aware of the different research approaches (Quantitative, qualitative and Mixed method). They will then be trained on how to give a Paper Presentation at International Conferences. The overall aim will therefore be that of helping students gain a cross-cultural competence when writing and speaking for an international academic community. It is only by giving PhD candidates the above-mentioned competences that they will be able to obtain international visibility both for their research field and their prospective work environment. The course will be held at the beginning of the 1st Year.

 For the 2025–2026 academic year, first-year students have been enrolled in the Course I, CEL (Language Instructor): Dr. Melody Lori Ristevski, Period: 28 January – 1 April 2026

Day and time: Wednesdays, 3:00 pm – 6:00 pm

 

English for Research Publication and Presentation Purposes - part 2 (C1+ Level)

 

English for Research Publication and Presentation Purposes (C1+) consolidates and deepens the writing and speaking skills of the previous course through other tasks, such as “Writing a Scientific Proposal, “Writing the PhD Dissertation”, “Writing the Cover Letter”, “Responding to Peer Reviewers”, “Editing one’s own Scientific Paper”, “Planning the Poster Presentation”, “Preparing the PhD Defence” and “Presenting the State of Art of the PhD Research Project”. The overall aim is to allow the PhD candidates to tackle all the writing and speaking tasks which will allow them to give a boost to their PhD Professional Profile thanks to a highly sophisticated cross-cultural approach towards the various academic writing and speaking conventions. The course will be held at the beginning of the 2nd Year.

Statistics for research

 

The PhD Course in Clinical Physiopathology offers his students the “Statistics for research” course. The course is open for 1st year students: its aim is to provide the knowledge of Descriptive and Inferential Biomedical Statistics. At the end of the course the PhD candidates will be able to use the software for the data analysis (XLSTAT, R and Comprehensive Meta-analysis) and to evaluate the scientific literature.

The course is about the following topics:

  •  Sample size analysis
  •  Randomization
  •  Normality tests
  •  Correlation and association tests
  •  Concordance
  •  Equivalence and non-inferiority tests
  •  ROC analysis
  •  Panel studies
  •  Survival analysis
  •  Multivariable regressions
  •  Development and validation of a questionnaire
  •  Factor analysis
  •  Principal component analysis
  •  Correspondence analysis
  •  Meta-analysis
  •  Meta-regressions
  •  Statstical graphics

For the 2025/2026 academic year, the Statistics lectures will be held mainly online via the Microsoft Teams link that will be sent to you by email and, if a classroom is available, also in person.

The final assessment, in the form of a multiple-choice test, is scheduled for Monday 13 April at 2:30 pm. PhD students who are on an official mission will be able to take the exam remotely.

Below is the detailed class schedule:

3 March, 2:30–5:00 pm
The role of statistics in medicine: descriptive statistics, inferential statistics, and hypothesis testing

5 March, 2:30–5:00 pm
Observational studies; case–control and cohort studies

10 March, 2:30–5:00 pm
Clinical trials; target population; primary and secondary endpoints; one-tailed and two-tailed tests; non-inferiority tests; sample size calculation; randomization; interim analyses; correction for multiple testing

12 March, 2:30–5:00 pm
Regression models: the role of variables; continuous and categorical predictors; confounding, interaction, and mediation. Linear regression model

17 March, 2:30–5:00 pm
Logistic regression

19 March, 2:30–5:00 pm
Diagnostic and prognostic accuracy studies

24 March, 2:30–5:00 pm
Survival analysis

26 March, 2:30–5:00 pm
Systematic literature reviews and meta-analyses

31 March, 2:30–4:30 pm
Cluster analysis

2 April, 2:30–4:30 pm
Repeated measures, mixed-effects models, and time series

 
 

SeminarS 2024-2025

Monday, 13 January – Dr. Andrea Piarulli – Cognitive Neural Networks
Monday, 10 February – Prof. Marco De Carlo – Organizing a Research Team: Strategies, Execution and Outcomes
Monday, 10 March – Dr. A. Bolletta – Applications of Innovative Technologies in Reconstructive Surgery: From High-Resolution Imaging and 3D Preoperative Planning to Robotic-Assisted Supermicrosurgery
Monday, 14 April – Dr. Laura Gragnani – Models in Basic and Translational Research
Monday, 9 June – Dr. Dario Tartaglia – Critical Thinking in Scientific Research: Analyzing Methodology, Bias, and Data Management
Monday, 29 September – Dr. Luna Gargani – Point-of-Care Ultrasound: The Third Millennium’s Objective Test?

Thursday, December 18, 2025 at 4:00 PM : Tips and tricks for scientific writingProf Luna Gargani

Monday, January 26, 2026 at 6:00 PM: Effective Communication Strategies in ScienceDott.ssa Silvia Capobianco

Monday, March 2 at 3:00 PMAI_Powered PHD Toolkit: a pratical guideprof Ugo Faraguna

Monday, March 16 at 4:30 PM: Engineering Cellular Responses through Nanoscale Actuation     Prof Gianni Ciofani

Monitoring of training activities

 
  • Monday, February 9 at 8:30 AM: thesis
  • Monday, 16 February 2026, 8:30 a.m. : presentation of the work plan (first-year PhD students)
  • Monday, March 9 at 8:30 AM: thesis
  • Monday, 19 October 2026, at 8:30 a.m. : seminar presenting the annual work plan and activities carried out (second- and third-year PhD students)
 

Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine

CONTACT US

+39 050 2211841

dottorati@med.unipi.it

Privacy Policy

© 2025 Pisa University via Savi, 10 – 56126 Pisa