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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
DPHSM305 Survival Analysis 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Postgraduate studies
Course unit descriptions in the curriculum
Terveystieteiden tohtoriohjelma
School of Health Sciences

Learning outcomes

The student is able to 1) identify survival data 2) generate appropriate summary statistics and graphical representations and interpret them 3) apply and interpret log-rank tests and Cox proportional hazards models.

General description

This course introduces the essential methods for modeling and interpreting survival data or, more generally, time-to-event data. Survival models are widely used in clinical, epidemiological and a variety of health related fields. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier graphs, log-rank and related tests, Cox proportional hazards model, and the extended Cox model for time-varying covariates. Special topics of multistate models and competing risks will also be briefly considered.

Enrolment for University Studies

Enrolment time has expired

Teachers

Jaakko Nevalainen, Teacher responsible
Jaakko.Nevalainen[ät]uta.fi

Teaching

8-May-2017 – 31-May-2017
Lectures
Mon 8-May-2017 - 29-May-2017 weekly at 12-14, Arvo A308
Wed 10-May-2017 - 31-May-2017 weekly at 12-14, Arvo A308
Exercises
Mon 8-May-2017 - 29-May-2017 weekly at 14-16, Arvo ML71
Wed 10-May-2017 - 24-May-2017 weekly at 14-16, Arvo ML71
Thu 1-Jun-2017 at 14-16, Arvo Ml71, Note! Last practise on Thursday June 1.

Evaluation

Pass/fail.

Further information

Basic knowledge of biostatistics, regression models and statistical software (R) is necessary to succeed on the course. If you have no prior experience with R, one option to fulfill that gap is to take the CAST online introductory course (https://www.uta.fi/cast/_admin/index.php/events/Ronline.html).