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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
- Room: LFW C11
Exercise Platform
Three options are available
- Webr: https://webr.r-wasm.org/latest
- Posit cloud: https://posit.cloud
- Run your own platform: Follow steps on https://posit.co/download/rstudio-desktop
A more detailed description is available from here
Exam
- Written exam
- Date: 27.05.2024 - 08:15 - 10:00
- Room: LFW C 11
- Data Read Statements: asm_exam_read_data
- Solutions: asm_exam_sol
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 | 19.02 | Introduction to Applied Statistical Methods in Animal Science | |
| 2 | 26.02 | Linear Regression Models | |
| 3 | 04.03 | Linear Fixed Effect Models | |
| 4 | 11.03 | Model Selection | |
| 5 | 18.03 | Pedigree BLUP | |
| 6 | 25.03 | Variance Components | |
| 7 | 01.04 | Easter Monday (Ostermontag) | |
| 8 | 08.04 | GBLUP - Marker-Effects Models | |
| 9 | 15.04 | GBLUP - Breeding Value Models | |
| 10 | 22.04 | Lasso | |
| 11 | 29.04 | SVM | |
| 12 | 06.05 | Bayesian Approaches in Linear Mixed Effects Models | |
| 13 | 13.05 | Test Exam | |
| 14 | 20.05 | Pentcote Monday (Pfingstmontag) | |
| 15 | 27.05 | Exam |
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Latest Changes: 2024-06-01 07:07:51 CEST (pvr)