M7985 Survival analysis

Faculty of Science
Autumn 2013
Extent and Intensity
2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
Teacher(s)
doc. PaedDr. RNDr. Stanislav Katina, Ph.D. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Tue 10:00–11:50 M5,01013
  • Timetable of Seminar Groups:
M7985/01: Mon 12:00–13:50 MP1,01014, S. Katina
M7985/02: Tue 8:00–9:50 MP1,01014, S. Katina
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
Course objectives
The main goal of the course is to become familiar with some basic principles of statistical analysis of stochastic processes in time; to understand and explain basic principles of nonparametric and parametric statistical inference and statistical modelling for (non)ensored data; to implement these techniques in R language; to be able to apply them to real data;
Syllabus
  • censoring a its types,
  • types of medical studies,
  • survival function, variance, risk, mean and median survival, estimation,
  • testing of statistical hypotheses – comparions of two or more survival curves, parametric and nonparametric principles for censored data,
  • generalisation of correlation coefficients,
  • semiparametric and parametric regression models, Cox regression model,
  • examples from biology and medicine calculated in R language.
Literature
  • KLEIN, John P. and Melvin L. MOESCHBERGER. Survival analysis : techniques for censored and truncated data. 2nd ed. New York: Springer, 2003, xv, 536. ISBN 9781441929853. info
Teaching methods
lecture, class excercise, homework
Assessment methods
homework, oral exam
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2010 - only for the accreditation, Autumn 2010, Autumn 2011 - acreditation, Autumn 2012, Autumn 2014, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2013, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2013/M7985