Kurskatalog forskarutbildning - VT20

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Titel Biostatistics III: Survival analysis for epidemiologists
Kursnummer 3142
Program Epidemiologi
Språk Engelska
Antal högskolepoäng 1.5
Noteringar Kursen uppfyller kraven för en allmänvetenskaplig kurs.

Datum 2019-02-11 -- 2019-02-20
Kursansvarig institution Institutionen för medicinsk epidemiologi och biostatistik
Särskild behörighet Epidemiology I: Introduction to epidemiology, Biostatistics I: Introduction for epidemiologists and Biostatistics II: Logistic regression for epidemiologists or equivalent courses, and practical experience applying statistical models.
Kursens syfte This course focuses on the application of survival analysis methods to epidemiological studies. The statistical software Stata will be used in the course.
Kursens lärandemål After successfully completing this course students should be able to:
- propose a suitable statistical model for assessing a specific research hypothesis using data from a cohort study, fit the model using standard statistical software, evaluate the fit of the model, and interpret the results.
- explain the similarities and differences between Cox regression and Poisson regression.
- discuss the concept of timescales in statistical models for time-to-event data, control for different timescales using standard statistical software, and argue for an appropriate timescale for a given research hypothesis.
- discuss the concept of confounding in epidemiological studies and control/adjust for confounding using statistical models.
- apply and interpret appropriate statistical models for studying effect modification and be able to reparameterise a statistical model to estimate appropriate contrasts.
- critically evaluate the methodological aspects (design and analysis) of a scientific article reporting a cohort study.
Kursens innehåll This course introduces statistical methods for survival analysis with emphasis on the application of such methods to the analysis of epidemiological cohort studies. Topics covered include methods for estimating survival (life table and Kaplan-Meier methods), comparing survival between subgroups (log-rank test), and modelling survival (primarily Poisson regression and the Cox proportional hazards model). The course addresses the concept of 'time' as a potential confounder or effect modifier and approaches to defining 'time' (e.g., time since entry, attained age, calendar time). The course will emphasise the basic concepts of statistical modelling in epidemiology, such as controlling for confounding and assessing effect modification
Arbetsformer Lectures, exercises focusing on analysis of real data using statistical software, exercises not requiring statistical software, group discussions, literature review.
Obligatoriska moment The individual examination (summative assessment).
Examination The course grade is based solely on a written examination. The examination will contain two sections and a passing grade must be obtained for each section in order to obtain a passing grade for the course. Students who do not obtain a passing grade on both sections and wish to take the examination again must retake the entire examination (i.e., both sections) even if they previously obtained a passing grade on one of the two sections. The focus of the exam will be on understanding concepts and their application to analysis of epidemiological studies rather than mathematical detail.

Students who do not obtain a passing grade in the first examination will be offered a second examination within 2 months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. If the course is not offered during the following two academic terms then a third examination will be scheduled within 12 months of the final day of the course.
Kurslitteratur och övriga läromedel We have not assigned any compulsory texts since experience has shown that course participants have widely varying preferences. We will provide extensive course notes and many participants do not find a great need for additional texts. A large number of textbooks are available and we suggest students interested in additional reading to identify a textbook at a technical level suitable for them. Many general textbooks in medical statistics contain a chapter on survival analysis.
This course has a heavy emphasis on application rather than theory. Very few books are targeted at epidemiologists (e.g., you won't find Poisson regression mentioned in many books). The definitive text for epidemiologists is Breslow and Day (1987) although it is rather advanced. The text by Cleves et al (2010) is highly recommended as it covers both the technical details as well as implementation in Stata.

Recommended texts

Cleves M et al. An Introduction to Survival Analysis Using Stata, 3rd edition. College Station: Stata Press; 2010.

Breslow NE, Day NE. Statistical Methods in Cancer Research: The Design and Analysis of Cohort Studies. Lyon: IARC Scientific Publication; 1987. Free to download from http://www.iarc.fr/en/publications/pdfs-online/stat/sp82/index.php

Hills M and De Stavola B. A Short Introduction to Stata for Biostatistics, 2nd edition. College Station: Stata Press; 2009.

Juul S. An Introduction to Stata for Health Researchers, 3rd edition. College Station: Stata Press; 2010.
Antal studenter 8 - 25
Urval av studenter Eligible doctoral students, with required prerequisite knowledge, will be selected based on 1) the relevance of the syllabus for the applicant's doctoral project (according to written motivation), and 2) date for registration as doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a description of current research and motivation for attending, and an account of previous courses taken.
Övrig information The course will be held February 11, 13, 15, 18, 20. The course is extended over two weeks (but still five course days) to promote reflection and active learning. Participants are expected to have prerequisite knowledge equivalent to the learning outcomes of the courses Epidemiology I, Biostatistics I and Biostatistics II.
We have provided a self-assessment test (http://biostat3.net/download/self-assessment.pdf) for you to confirm that you understand the central concepts. We advise all potential applicants to take the test prior to applying for Biostatistics III. If you attempt the test under examination conditions (i.e., without referring to the answers), we would recommend.
1. if you score 70% or more then you possess the required prerequisite knowledge
2. if you score 40% to 70% you should revise the areas where you lost marks
3. if you score less than 40% you should, at a minimum, undertake an extensive review of central concepts in statistical modelling and possibly consider studying intermediate-level courses (e.g., Biostatistics II) before taking Biostatistics III. The statistical software Stata will be used throughout the course. Participants are expected to possess basic knowledge of Stata prior to the start of the course. An introduction to Stata can be downloaded from the course webpage (www.biostat3.net).
The course was previously given as course number 1685.
Ytterligare kursledare
Senaste kursvärdering Kursvärderingsrapport
Kursansvarig Mark Clements
Institutionen för medicinsk epidemiologi och biostatistik

Kontaktpersoner Gunilla Nilsson Roos
Institutionen för medicinsk epidemiologi och biostatistik
08-524 822 93