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Programme  Titles  Presenters  Topics 
Monday 1 September
10am - 4pm  Short course: An introduction to Multivariate meta-analysis
Sheffield City Hall
10am - 5pm  Short course: Statistical Principles for the Design of Experiments
Sheffield City Hall
10am - 4.30pm  Short course: Sensitivity Analysis for Computer Models
Sheffield City Hall
10am - 5pm  Short course: Multivariate Data Analysis
Sheffield City Hall
10am - 4.30pm  Short course: Visualising Geographic Data with Open Source Tools
University of Sheffield
   
3pm - 6.30pm  Registration for main conference
Foyer, Sheffield City Hall
   
7pm - 9pm  Welcome Reception
Winter Garden/Mercure Hotel
 
Tuesday 2 September
9.10am - 9.40am  PD1 - The Young Statistician's Guide to the Conference
Oval Hall
   
9.40am - 10.40am  1.1 Contributed - Statistics & the Law
Memorial Hall
  1.2 Contributed - Spatial Analysis
South Hall
  1.3 Contributed - Household security, Housing and Private Schools
North Hall
  1.4 Contributed - Industry & Commerce
Vincent Harris Suite
  1.5 Contributed - Environment & Ecology
Dressing Rooms
  1.6 Contributed - Medical/bioinformatics
Barbirolli Suite
   
10.45am - 11.30am  Plenary 1 - Campion (President's Invited) Lecture
Oval Hall
11.30am - 12noon  Coffee
Ballroom
12noon - 1.20pm  2.1 Invited - Communicating statistical evidence and understanding probabilistic inference in criminal trials
Memorial Hall
  2.2 Invited - New advances in multivariate modelling techniques
  2.3 Invited - How are official statistics used in policy evaluation?
North Hall
  2.4 Invited - Statistics in Industry
Vincent Harris Suite
  2.5 Invited - Bayesian spatio-temporal methodology for predicting air pollution....
South Hall
  PD2 - Giving a memorable presentation
Barbirolli Suite
1.20pm - 2.30pm  Lunch
Ballroom
1.30pm - 2.20pm  Young Statisticians Section Reception
City Bar, Sheffield City Hall
2.30pm - 4pm  3.1 Invited - Data visualisation – storytelling by numbers
Oval Hall
  3.2 Invited - Papers from the Journal of the Royal Statistical Society
Memorial Hall
  3.3 Invited - Data collection challenges in Establishment Surveys
North Hall
  PD3 - An introduction to working with the media
Barbirolli Suite
4pm - 4.30pm  Coffee
Ballroom
4.30pm - 5.30pm  4.1 Contributed - Communication of Statistical Ideas
Memorial Hall
  4.2 Contributed - Time Series
South Hall
  4.3 Contributed - Government surveys and evaluation
Vincent Harris Suite
  4.4 Contributed - Medical
Dressing Rooms
  4.5 Contributed - Data Science
North Hall
  4.6 Contributed - Challenges for the Statistician
Oval Hall
  PD4 - Best practice for running courses
Barbirolli Suite
   
5.45pm - 7pm  Royal Statistical Society Awards Ceremony
Oval Hall
7pm - 8.30pm  Awards and Poster Reception
Ballroom
  Poster session
Ballroom
 
Wednesday 3 September
9am - 10am  5.1 Invited - Young Statisticians Meeting 2014 Prize Winners
Oval Hall
  5.2 Contributed - Statistical Methods & Theory
Memorial Hall
  5.3 Contributed - Medical/Survival Data
North Hall
  5.4 Contributed - Roads and transport
Vincent Harris Suite
  5.5 Contributed - Statistics in Sport
South Hall
  PD5 - Writing for a non-specialist audience
Barbirolli Suite
   
10.10am - 11.40am  6.1 Invited - Statistical Analytics Challenge finalists
Oval Hall
  6.2 Invited - What does the ubiquity of data mean for Society?
Vincent Harris Suite
  6.3 Invited - Quantum statistics
Memorial Hall
  6.4 Invited - Statistics and Emergency Care
North Hall
  6.5 Invited - Statistics in Sport
South Hall
  6.6 Contributed - Meta-analysis
Dressing rooms
  PD5 - Writing for a non-specialist audience (cont'd)
Barbirolli Suite
11.40am - 12.10pm  Coffee
Ballroom
12.10pm - 1.10pm  Plenary 2 - Significance Lecture - The Big Data trap
Oval Hall
1.10pm - 2.30pm  Lunch
Ballroom
2.30pm - 4pm  7.2 Invited - Bayes meets Bellman
Barbirolli Suite
  7.3 Invited - YSS/Significance Magazine Competition Finalists
Oval Hall
  7.4 Invited - Measuring segregation
Memorial Hall
  7.5 Invited - Statistics in Sport
South Hall
2.30pm - 4pm   7.6 Contributed - Medical Statistics
Dressing Rooms
2.30pm - 4pm  7.7 Invited - Nightingale’s Legacy: The Value of Statistics to Society
North Hall
4pm - 4.20pm  Coffee
Ballroom
4.20pm - 5.20pm  8.1 Invited - Research Students Conference 2014 Prize winners
Oval Hall
  8.2 Contributed - Bayesian methods
Memorial Hall
  8.3 Contributed - Medical/Observational data
North Hall
  8.4 Contributed - Older people and Victims of theft
Vincent Harris Suite
  8.5 Contributed - Statistics in Sport (and Song)
South Hall
  PD7 - CStat revalidation - experience to date and plans for 2015
Dressing Rooms
4.20pm - 5.20pm   PD8 - An introduction to working with schools
Barbirolli Suite
5.30pm - 6.20pm  Plenary 3 - Removing unwanted variation
Oval Hall
7.30pm - 8pm  IOS/RSS Merger 21st Anniversary Reception
Cutlers’ Hall
8pm until late  Conference Dinner
Cutlers’ Hall
 
Thursday 4 September
9.20am - 10.40am  9.1 Contributed - Statistics methods & theory/regression
Dressing Rooms
  9.2 Contributed - Loans, Prices, Inflation and the Income Gap
Oval Hall
  9.3 Contributed - Genetic sequencing
North Hall
  9.4 Contributed - Data linkage and privacy
Memorial Hall
  9.5 Contributed - Communication of Statistical Ideas
Vincent Harris Suite
  9.6 Contributed - Trial design
South Hall
  PD9 - Career development pathways for professional statisticians
10.40am - 11.10am  Coffee
Ballroom
11.10am - 12.40pm  10.2 Invited - Checking and Cleaning in Big Data
Memorial Hall
  10.3 Invited - Mega Trends in Statistics – The past, present & future of statistical thinking
Vincent Harris Suite
  10.4 Invited - Anonymisation Practices for Sharing Data
Oval Hall
  10.5 Invited - Floods: risk assessment, management and attribution to climate change
South Hall
12.40pm - 2pm  Lunch
Ballroom
2pm - 3.20pm  11.1 Invited - Who’s afraid of data science
Oval Hall
  11.2 Invited - Advances in Astrostatistics
South Hall
  11.3 Invited - Exploiting large genetic data sets
North Hall
  11.4 Invited - Vic Barnett and his contributions to statistics
Memorial Hall
3.20pm - 3.40pm  Coffee
Ballroom
3.40pm - 4.30pm  Plenary 4 - Recent advances in High Dimensional Covariance Matrix Estimation
Oval Hall
 
 


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