"OsteoData" - Statistical tools for the management of human osteological data

Year 2022
Main Department Department of Biological Sciences, Geological and Environmental - BiGeA
Campus Bologna
Credits Programme without credits
Cost €350
Starting date Oct 10, 2022
Finishing date Oct 14, 2022
Application deadline Sep 22, 2022 (Expired)
Course overview
Nowadays, statistical assessment of human osteological data is critical to address research questions in the field of biological and forensic anthropology, as well as in paleoanthropology. Great amount of osteological data needs to be processed with different approaches following statistical criteria, which are often unfamiliar to students at the beginning of their careers in anthropology. The summer school OsteoData will provide a theoretical basis to statistical methods in anthropology, and a full immersion of practical sessions.
Subject area
Sciences and technology, Health
Learning outcomes
Students will be trained at collecting and registering osteological variables, managing and analyzing data in R and Past software, choosing the appropriate analysis for the research questions, interpreting the results. Real anthropological case studies will be presented, and participants will develop the statistical workflow to verify the research hypotheses
Number of participants
30
Duration
5 days
Language
English
Additional information

To register, please fill the form attached and send it to Teresa Nicolosi (teresa.nicolosi2@unibo.it)

Admission qualifications
MA and PhD students.
Academic director
Prof. Maria Giovanna Belcastro
Place of teaching
Dept. of Biological, Geological and
Environmental Sciences – BiGeA. Via Selmi
3, 40126 Bologna, Italy.

All lectures will be given in
hybrid mode (live and remote).
Study plan

Day one – 10th October, 2022 (14.00-18.00)
- Introduction to human osteological data
- Study design and data collection
- Recording of osteological data

Day two – 11th October, 2022 (14.00-18.00)
- Introduction to common statistical software for analyzing osteological data
- Assessment of data type (qualitative vs. quantitative variables) 
- Dataset creation
- Descriptive statistics in R, Excel and Past

Day three – 12th October, 2022 (14.00-18.00)
- Statistical hypothesis and test selection
- Sample size, normality and variance homogeneity
- Univariate statistics

Day four – 13th October, 2022 (14.00-18.00) 
- Multivariate statistics:
  - Principal component analysis
  - Cluster analysis
  - Multidimensional scaling

Day five – 14h October, 2022 (14.00-18.00) 
- Predictive models:
  - Logistic regression
  - Linear discriminant analysis
  - Tips and tricks with aperitivo

Teresa Nicolosi

Contacts

Teresa Nicolosi