DATA
ANALYSIS

(DA_2022)

Academic
Year 2021-2022, 6 ECTS.

A course for the Master Programs in Genetics and
Molecular Biology and Neurobiology, given in the 2nd semester.

Instructor:
prof.Andrea Giansanti, Sapienza University
of Rome, Department of Physics, (Marconi Building (CU013), 2nd floor,
room 211) tel. 0649914367 (cell 3385075611)

andrea.giansanti@uniroma1.it

andrea.giansanti@roma1.infn.it (preferred in the exchanges with students and interested scholars)

Evaluation: based onwritten essays, written tests,
home-works and participation to discussions : 40%. Final oral exam: 60%.

 

Recommended textbooks

[R]Bernard Rosner - Fundamentals
of Biostatistics-Brooks Cole (2015).

[WS] Michael C. Whitlock
and Dolph Schluter - The Analysis of
Biological Data-W. H. Freeman and Company (2015)

SYLLABUS

0. 
Biological
data: The big picture

1. SETTING
THE TOOLKIT

2. DATA AND
THEIR REPRESENTATION
(W&S chap. 2, R 2.8

3.
DESCRIPTIVE STATISTICS (R 2.1-2.6, W&S chap.3 (to be used as a rewiew reading))

4.
PROBABILISTIC REASONING (R 3.1-3.8, W&S chap. 5

5. BAYES’
THEOREM AND TESTS (see lecture n.10)

6.
PROBABILITY DISTRIBUTIONS

7. INFERENTIAL
STATISTICS AND ESTIMATION (R 6.1-6.7 )

8. HYPOTHESIS TESTING (one/two samples) ( R 7.1- 7.6; 8.1-8.4, 8.6  ,W&S chap. 6)

9. NON PARAMETRIC TESTS (R 9.1-9.2; 9.4 ,W&S chap.13)

10. MULTIPLE PARAMETRIC/NON PARAMETRIC TESTS (R
12.1-12-4; 12.7)

11. CORRELATION
AND REGRESSION (R 11.1-11-5 ; 11.7, W&S chapp. 16 and 17 )