Survival Analysis

In follow-up studies, interest may be in the duration between a specific starting event, such as an initial heart attack, and a specific end event, such as a subsequent heart attack. Other examples of durations, called survival times, are the time between hospital admission and discharge, the time between start of a prolonged exposure to carcinogens and occurrence of cancer, and the recovery time. The following questions may be of importance: are survival times different between treatment and control groups? What is the prognostic value of a certain factor, or combination of factors? Once the follow-up has been completed, the end event may be unavailable for certain individuals if their end event has not yet occurred. These incomplete durations, called censured data, must be accurately recorded in the statistical analysis.

Fast facts

4 sessions, of 2 hours each
2 ECTS
minimum 7, maximum 25 candidates
intended for PhD candidates of FHML, MaCSBIO, M4I and MERLN

Interested in this course? Apply now!

Instructor

Sophie Vanbelle
Department of Methodology & Statistics (DEB1)
+31 43 388 22 80

Target group

PhD candidates from the Faculty of Health, Medicine and Life Sciences

Required prior knowledge

A prerequisite for participating in this course is that you have succesfully completed the courses Introduction to Statistics Part 1 and Regression Analysis, Statistics Part 2.

Content

Kaplan-Meier survival curves
Log-rank test
Hazard ratio and confidence interval for hazard ratio
Cox regression with multiple prognosis factors
Cox regression with time-dependent covariates

Meetings

4 sessions, of 2 hours each.

Method

Literature, provided by the tutor

Course fees

PhD candidates (Promovendi) of FHML, MaCSBIO, M4I and MERLN: no fee

These courses are free of charge in case you are employed or registered as FHML PhD candidate.
Master students: no fee (*)
Others: €400,00

(*) PhD candidates and other participants are given preference. If some spots are still available, then Master students can apply.

Course dates 2022

0830-Survival Analysis – Sophie Vanbelle (MAX 25 personen)

Thursday	03-11-2022	8.30-10.30hrs.	UNS50 - K4.403
Thursday	10-11-2022	8.30-10.30hrs.	UNS50 - K4.403
Thursday	17-11-2022	8.30-10.30hrs.	UNS50 - K4.403
Thursday	24-11-2022	8.30-10.30hrs.	UNS50 - K4.403

Code: 0830

Assessment:
assignment

Min/Max PhD candidates:
minimum 7, maximum 25

ECTS:
2

Information

PhD secretary
Available Mondays, Tuesdays, Fridays: 9 am – 5 pm
Wednesdays: 9 am – 1 pm

+31 43 387 28 44
Visitors address: Fac.Bur. FHML, P.Debeyelaan 15/ Dr. Van Kleeftoren, 2N2.004
aioonderwijs@maastrichtuniversity.nl