Introduction to Simulation Studies

Details: 

APPLICATIONS FOR THIS EVENT ARE NOW CLOSED.

13th January 2017
This is a one-day training event being held at the University of Sheffield by Dr Andrew Bell (Sheffield Methods Institute, University of Sheffield) and Dr Malcolm Fairbrother (School of Geographical Sciences, University of Bristol).

Venue
Sheffield Methods Institute, Floor 2, ICOSS Building, The University of Sheffield.  See map below.

Course Details
Simulation studies offer a way of judging whether a statistical method works in the way that we think it should under specific circumstances. Even commonly used methods that we think are ‘tried and tested’, actually don’t work in the circumstances that we want to use them. It is therefore essential that we can understand the results of simulation studies, and also run simulations ourselves to ensure that we know how a statistical model should behave in the specific circumstances we want to use them. Simulations also help us to understand what the model we are using is really doing, which is helpful for ensuring the conclusions we are making are really justified.

This course will introduce researchers to the concepts that underlie simulation studies, their uses, and their limitations. It will also provide experience of running simulations in the R software package, so users will be able to run their own studies.

Objective
•    To offer intensive training in the concepts of simulation studies, and their implementation in R

Learning Outcomes
•    Understand what simulation studies are and what they can show
•    Learn how simulation studies work, and the measures that are used to judge the results of a simulation study
•    Learn how to use the R software to run simple simulation studies
•    Learn how to produce a range of plots (in R) to visualise the results of simulation studies

Criteria for selection
Participants must have a good understanding of multiple regression modelling and inferential statistics, especially regression intercepts and slopes, standard errors, residuals, and the concepts of variance and co-variance. No experience of simulations is expected. Some familiarity of R would be helpful, but is not required.

About the Trainers
Andy is a lecturer in Quantitative Social Sciences at the University of Sheffield, having completed his undergraduate degree at the University of Bristol. His current substantive research focuses on mental health from a life course perspective, but also spans a diverse range of other subject areas, including geography, political science, social epidemiology and economics. Methodologically, Andy’s interests are in the development and application of multilevel models, with work focusing on age-period-cohort analysis and fixed and random effects models.

Malcolm is a Reader in Global Policy and Politics at the University of Bristol. His research interests span a diversity of topics within the fields of political economy, nature-society relationships, and social science research methods. Much of his current work uses and develops quantitative methods – above all multilevel modelling – to investigate economic growth and development, inequality, trust, religiosity and public concern about environmental degredation.

Course costs:
This training course is offered free of charge to doctoral students registered on a social science degree programme at a Scottish University or to doctoral students studying at an ESRC-funded Doctoral Training Centre.

Remaining places will be open to others for a fee:

Doctoral students studying at a non-DTC institution £30
Academic staff, ESRC funded researchers and UK registered charitable organisations £60
Others £250

Please note that AQMeN can only accept payment for training via the University of Edinburgh ePay system.  We are unable to issue invoices or accept cheques for payment. All payments must be received within 14 days of a place being offered otherwise the place will be released. Payment should not be made until you have received confirmation that you have been allocated a place on the course.

Application process:
There are 15 places available on the course and places will be allocated following a process of application. Please submit your application by 12 noon on 19th December 2016. Successful applicants will be notified by 21st December 2016.

Travel and accommodation bursaries:
Doctoral students registered on a social science degree programme at a Scottish university or at an ESRC-funded DTC may be eligible to claim travel and/or accommodation costs to attend.

In order to be eligible for a bursary you must reside outside Sheffield and attend a university outside Sheffield.  Reimbursement can only take place if you follow the reimbursement process detailed below and bursaries for eligible students will be capped at the following rates:

Travel time (by rail) from Sheffield Maximum Travel Contribution
Accommodation Contribution
Up to 1 hour (travelling each day)    2 return trips @£25/trip = £50 NIL
Up to 1 hour(with accomodation) 1 return trip @£25/trip = £25 Up to 1 nights accomodation at maximum £60 per night
Up to 2 hours 1 return trip @£50/trip = £50 Up to 1 nights accomodation at maximum £60 per night
Over 2 hours 1 return trip @£100/trip = £100    Up to 1 nights accomodation at maximum £60 per night

Reimbursement process:
Students are responsible for arranging travel and/or accommodation (if applicable) themselves and will only be reimbursed upon presentation of original receipts (no photocopies or credit card receipts will be accepted) and completion of the relevant expense claim form which will be provided post-event.

AQMeN will not reimburse the following costs (unless agreed prior to the event):

  • Mileage
  • First class travel
  • Meals or room service
  • Inter-city travel (e.g. buses to and from event venue)
  • Taxi fares
  • Credit card fees
  • Sundries (e.g.wireless internet access or newspapers at accommodation)

All expense claims and receipts must be received by the AQMeN office no later than 2 weeks following the last day of the event in order to be eligible for reimbursement.

Cancellation and Non-attendance:
By applying for this course, you are expected to attend for the full duration.  Failure to attend all sessions (unless by prior agreement with the AQMeN core team) may result in a charge of £50 per day of the course missed, non-reimbursement of expenses and ineligibility to be  considered for future AQMeN training courses and events.

Non-paying delegates
If after receiving an allocated place on the course you are no longer able to attend, you must notify AQMeN as soon as possible to allow the place to be offered to someone on the waiting list.  Failure to do so may result in a charge of £50 per day of the course, non-reimbursement of expenses and ineligibility to be  considered for future AQMeN training courses and events.

Paying delegates
Course fees are non-refundable.  In exceptional cirumstances a refund may by permitted at the discretion of the AQMeN Research and Development Manager.

Contact:
If you have any questions regarding the course, please feel free to contact events@aqmen.ac.uk or + 44 (0) 131 650 2105

Date: 
Friday, January 13, 2017 - 09:00 to 17:00
Organiser: 
AQMeN
Location: 
Sheffield
Venue: 
Sheffield Methods Institute, Floor 2, ICOSS Building, The University of Sheffield

Research Strand: