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 on written 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 )