PřF:Bi7491 Regression Modelling - Course Information
Bi7491 Regression Modelling
Faculty of ScienceSpring 2013
- Extent and Intensity
- 2/1. 3 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Ondřej Májek, Ph.D. (lecturer)
RNDr. Tomáš Pavlík, Ph.D. (lecturer) - Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science - Timetable
- Thu 9:00–11:50 F01B1/709
- Prerequisites
- Student should be familiar with the following topics: fundamentals of the probability theory; vector and matrix algebra; random variable, its distribution and characteristics; hypothesis testing; linear model.
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- At the end of this course, a student should be able to:
define various types of regression models;
design and build up a regression model suitable for the particular problem;
evaluate a fit of the proposed model;
interpret results of the regression analysis; - Syllabus
- Repetition of relevant biostatistical topics.
- Concepts in regression modelling: regression modelling strategies, assumptions of linear regression model, independent variables, setup and performance the analysis, interpretation and evaluation of the assumptions.
- Logistic and Poisson regression models.
- Mixed model.
- Non-linear modelling.
- Validation of the predictive regression model.
- Regression models in survival analysis, the role of maximum likelihood, tools for the assessment of a model fit.
- Cox proportional hazards model. Tools for the evaluiation of Cox model assumptions, stratification.
- Selected topics in survival analysis: multi-state models, frailty models.
- Literature
- HARRELL, Frank E. Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis. New York: Springer, 2001, xxii, 568. ISBN 1441929185. info
- Teaching methods
- Lectures focused on theoretical aspects as well as practical applications. Practices in a computer room focused on practical regression modelling in R software.
- Assessment methods
- There is one short test during the term. Students should work up a project concerning one practical application of regression modelling. The course is finished with both written and oral exam.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- General note: Doporučeno absolvování předmětu Bi5040 Biostatistika - základní kurz nebo Bi5045 Biostatistika v matematické biologii.
- Listed among pre-requisites of other courses
- Enrolment Statistics (Spring 2013, recent)
- Permalink: https://is.muni.cz/course/sci/spring2013/Bi7491