Welcome to
751-7602-00L Applied Statistical Methods in Animal Sciences
Topics for Master Theses
Topics for Master Theses at Qualitas AG together with ETH will follow here …
Information
- Lecturer: Peter von Rohr
- Date: Montag 8-10
- Mode: hybrid - in person and via zoom
- Room: LFW C11
- Zoom-link: https://ethz.zoom.us/j/67283527518
Exercise Platform
- The links to the exercise platform can be found here
- The password was sent by e-mail
- The username is: rstudio
Exam
- Written exam
- Date: 22.05.2023 - 08:15 - 10:00
- Room: LFW C 11
- Links to datasets: here
Description
The following descriptions are taken from the course catalog
Applied Statistical Methods in Animal Science
Genomic selection is currently the method of choice for improving the genetic potential of selection candidates in livestock breeding programs. This lecture introduces the reason why regression cannot be used in genomic selection. Alternatives to regression analysis that are suitable for genomic selection are presented. The concepts introduced are illustrated by excersises in R.
The students are familiar with the properties of multiple linear regression and they are able to analyse simple data sets using regression methods. The students know why multiple linear regression cannot be used for genomic selection. The students know the statistical methods used in genomic selection, such as BLUP-based approaches, Bayesian procedures and LASSO. The students are able to solve simple exercise problems using the statistical framework R.
Questions
Questions can be asked during the lecture and during the exercise hour or via e-mail:
- Peter von Rohr (peter.vonrohr
atusys.ethz.ch)
Lecture Program
| Week | Date | Topic | Lecture Mode |
|---|---|---|---|
| 1 | 20.02 | Introduction to Applied Statistical Methods in Animal Science | P |
| 2 | 27.02 | Linear Regression Models | P |
| 3 | 06.03 | Linear Fixed Effect Models | P |
| 4 | 13.03 | Model Selection | P |
| 5 | 20.03 | Pedigree BLUP | P |
| 6 | 27.03 | Variance Components | P |
| 7 | 03.04 | GBLUP - Marker-Effects Models | P |
| 8 | 10.04 | Easter Monday (Ostermontag) | |
| 9 | 17.04 | GBLUP - Breeding Value Models | Z |
| 10 | 24.04 | Lasso | Z |
| 11 | 01.05 | Labor Day (Tag der Arbeit) | |
| 12 | 08.05 | SVM | Z |
| 13 | 15.05 | Bayesian Approaches in Linear Mixed Effects Models | P |
| 14 | 22.05 | Exam | |
| 15 | 29.05 | Pentcote Monday (Pfingstmontag) |
Lecture modes are either in present (P) or via zoom (Z)
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Latest Changes: 2023-05-21 08:47:54 (pvr)