STATISTICAL PRACTICE IN EPIDEMIOLOGY USING R

Tartu, Estonia, Friday 30 May to Wednesday 4 June 2014

(See also the attached flyer)

The course is intended for epidemiologists and statisticians who wish to use R (www.r-project.org<http://www.r-project.org>) for statistical modelling and analysis of epidemiological data. The aim of the course is to give participants access to a set of tools in current use by statisticians in epidemiology. The course requires fairly good understanding of statistical principles and some familiarity with epidemiological concepts and study types.

The course will be mainly practically oriented with more than half the time at the computer.

Contents:
* History of R. Language. Objects. Functions.
* Interface to other data formats. Data frames.
* Tabulation of data.
* Logistic regression for case-control-studies.
* Poisson regression for follow-up studies.
* Causal inference.
* Parametrization of models.
* Graphics in R.
* Graphical reporting of results.
* Time-splitting &  Standardized Mortality Ratios.
* Survival analysis and competing risks.
* Multi-state models.
* Nested and matched case-control studies.
* Case-cohort studies.

Venue:
Department of Mathematical Statistics
University of Tartu
J. Liivi 2,
EE - 50409 Tartu
Estonia

Price: 550 EUR for academic participants, 800 EUR for non-academic participants
- Includes tuition, course material, lunches, coffee breaks and social events (welcome cocktail and course dinner).
- Excludes travels, accommodation, and other meals

The course is a self-supporting entity, and there are NO grants or stipends available for travel or participation.

Registration: Send an e-mail which briefly states your qualifications in epidemiology and statistics to the organizers
* Bendix Carstensen: BxC@steno.dk<mailto:BxC@steno.dk>
* Esa Läärä: Esa.Laara@oulu.fi<mailto:Esa.Laara@oulu.fi>
* Krista Fischer: Krista.Fischer@ut.ee<mailto:Krista.Fischer@ut.ee>

Deadline for application: 1st April 2014.
Further information to applicants will be given by e-mail shortly after the deadline.

Course homepage: http://BendixCarstensen.com/SPE

Network Analysis Workshop and NOSOVE General Assembly

Update 14.07.2014
Sadly we have had to cancel the course due to lack of registered participants. We hope it will be possible to organize the course at a later date.

Time:
September 24th -26th, 2014

Venue: 

Hotel L’Ermitage

Toompuiestee 19, 10137 Tallinn, Estonia 

Website: www.lermitagehotel.ee/en/

Instructor: 

Rob Christley

Reader in Epidemiology

Department of Epidemiology & Population Health

Institute of Infection & Global Health, and 

School of Veterinary Science

University of Liverpool,

UK

Provisional Outline

The course will introduce the terminology, methods and some of the software available to analyse networks. The workshop will be a combination of short lectures, discussions and hands-on analysis (half of each day will be spent completing exercises designed to give participants practical experience of network analysis). By the end of the workshop participants will be able to design and undertake studies appropriate for the collection of network data, and use such data to create network images, describe important features of the network and identify important individuals and subgroups within the network. In addition, we will cover aspects of the statistical analysis of network data and the impact of networks on infectious disease dynamics.

Data will be provided for the practical sessions; however, participants will be encouraged to bring their own data to work on during the workshop. In addition, participants are encouraged to discuss their ideas for network analysis with the group.

The course outline below provides the basic course structure and topics to be covered. This may be subject to some modification.

Requirements:

• Course material with notes, practicals and solutions to the exercises will be provided during the first session of the workshop.

• Participants will be required to bring their own laptop.

• Software required: UCINET. A free trial version will be provided for the course.

Costs for participation:

Participation in the whole programme: 300 EUR (includes teaching all days, teaching material, workshop, AGM, all lunches, dinners and coffe breaks) 

Accommodation:

Hotel L’Ermitage; Toompuiestee 19, 10137 Tallinn, Estonia  www: www.lermitagehotel.ee/en/

Rooms have been booked for participant in the NOSOVE workshop/course 

Per night in a single room: 60 EUR including breakfast

Per night in an advanced single room: 72 EUR including breakfast

Per night in a twin or double room: 60 EUR including breakfast for two (30 EUR per person) 

Detailed program and Registration: 

Please click this link

Deadline for registration: 30th of May 2014

NOVA Postgraduate course in Advanced Veterinary Epidemiology - Data Quality

New NOVA course in veterinary epidemiology focusing on data quality.
Tallinn, Estonia September 17-23, 2014

Please note that this course is running just before the NOSOVE course, and also in Tallinn! This is an excellent opportunity to get two courses in one run. Do not miss out!

More information about the NOVA course:
Course information and application
NOVA course website

Open position in department of Production and Population Health, Royal Veterinary College, UK

[Forwarded from SVEPM announcement]

Postdoctoral Researcher
Location:  nr Potters Bar, Hertfordshire
Salary:  £32,196 per annum inclusive of London Allowance
Closing Date:   Thursday 13 February 2014
Interview Date:   Thursday 27 February 2014
Reference:   PPH-0014-14

We are looking for a 3-year fixed term Postdoctoral Researcher to join the Veterinary Epidemiology, Economics and Public Health Group at the Royal Veterinary College.

You will be responsible for the day-to-day running of a Horserace Betting Levy Board-funded project entitled 'Nature versus Nurture: modelling environmental and genetic contributions to risk of racecourse injury in UK Thoroughbreds’. This will include collation, processing and analysis of a large dataset including injury, performance and pedigree data of UK flat racing Thoroughbreds, writing progress reports and publishing findings in peer-reviewed journals. You will be expected to communicate with stakeholders in the UK racing industry.

The ideal candidate would have a PhD in a relevant subject (quantitative veterinary epidemiology, biostatistics, quantitative genetics or similar) and experience of handling and analysing large datasets using advanced statistical methods. Knowledge of, or a keen interest in, the UK racing industry would be advantageous.

For further information about this post including job description and person specification please visit http://jobs.rvc.ac.uk/.