Simone Tassani. SIMBiosys, Barcelona MedTech, DTIC-UPF Simone Tassani. SIMBiosys, Barcelona MedTech, DTIC-UPF

Course - Statistics and Design of Experiments

Tassani. (2019, March). Course - Statistics and Design of Experiments. Zenodo.

https://doi.org/10.5281/zenodo.2596963

Part I

  • Dates: Feb 28, March 7th, March 2019 (3 sessions) 14th 15:30 - 17:30h.
  • Location: Poblenou Campus, UPF (Roc Boronat 138, Barcelona). Room 55.309. Streaming available (details)
  • Tutorial presenter: Simone Tassani ( www.biomech.es )
  • Free, registration not required

Part II

  • Dates and room: May 16 (room 55.410), May 30th (room 55.309), June 4th (room 55.309). 15:30 - 17:30h.
  • Location: Poblenou Campus, UPF (Roc Boronat 138, Barcelona). Streaming available (details)
  • Tutorial presenter: Simone Tassani ( www.biomech.es )
  • Free, registration not required

The course will start with a brief digression over the several implications that bad statistics have today over the scientific society and why every researcher should know the basic concepts behind a statistical analysis.

Part I

Session 1: Than the first part of the course will follow introducing General Linear Modelling and its most common applications: F-test, Monofactorial Analysis of Variance (ANOVA) 

 

Session 2: In the second class the non-parametric "equivalent" of ANOVA will be introduced: Kruskal-Wallis test.

Monofactorial and multifactorial analysis will be presented, together with the definition of Type I and Type II error, multiple comparison errors and tests for multiple comparison.

Session 3: Projects with more than two factors will be presented. This will lead to the presentation of some examples of Design of Experiment (Latin and Greek-Latin squares) for the reduction of the number of experiments and to the concept of orthonormality.

The course will close with the description of linear regression.

Part II

This second part of seminars on statistical analysis is focused over use of ANOVA theory, previously introduced, in order to design campaigns of experiments or of simulations. During the course will be introduced Complete Factorial and Fractional Factorial analysis along with Latin squares and Taguchi methods.

The meaning of confounded effects will be introduced along with the generation of analysis blocks.

The course will close presenting the Response Surface Methodology