Can you spot yourself treading the boards at the Hub on Tuesday night?
Royal Statistical Society Annual Conference Blog
Wednesday 9 September 2009
Wednesday morning round-up
Session 3A Retrospective read paper meeting (invited)
Yoav Benjamini (Tel Aviv University)
Discovering the false discovery rate
Session 3B International statistics 2 (invited)
Sally C Morton (American Statistical Association/RTI International)
Present and future challenges in statistics, and collaborative solutions
Marie Bohatá (EuroStat)
The role of the European Union in mastering the challenges for official statistics
Session 3C Agriculture and environment
Jon Barry (Cefas)
A model-based framework for the estimation of species richness from grab samples
Esben Budtz-Joergensen (Department of Biostatistics, University of Copenhagen)
Different approaches to model averaging in environmental risk assessment
Sebastian Dietz (University of Passau, Germany)
A multivariate cointegration approach to the influence of bioethanol and biodiesel on the price levels of certain agricultural commodities
Alan Kimber (University of Southampton)
Ripeness of bananas and manure: a prediction problem using a least squares support vector machine
Session 3D General (contributed) 2
Jian Zhang (University of York)
Semiparametric plaid models with applications
Neil Spencer (University of Hertfordshire)
Detecting misspecification in the multilevel model using the forward search
Biiman Chakrobarty (University of Birmingham)
On a multivariate generalisation of quantile-quantile plot
Session 3E Complex interventions in primary care (invited)
Michael J Campbell (University of Sheffield)
Patient decision aids in primary care
Nigel Stallard (Warwick Medical School, The University of Warwick)
Designing clinical trials of complexinterventions – what can we learn from adaptive designs for drug trials?
Toby Prevost (King's College London)
Meta-analysis methods for planning and evaluating behaviour-change interventions
Session 4A The surveillance society and the role of the statistician (Invited)
Stephen Penneck (ONS Director of Methodology)
Hugh O’Donnell MSP
Andrew Garratt (RSS Press and Public Affairs Officer)
Session 4B Statistical image analysis (invited)
Kanti V Mardia (University of Leeds)
Has there been any real impact of statistics on image analysis in the last three decades?
Elke Thönnes (Department of Statistics, University of Warwick)
Characterising HRCT lung images using integral geometry
Gerie van der Heijden (Netherlands)
Particle filters for controlling robots
Session 4C Agricultural statistics (invited)
Roger Payne (VSN International)
90 years of research and collaboration by statisticians in agricultural research
Iain McKendrick (Biomathematics and Statistics Scotland)
Statistical models of veterinary diagnostic test characteristics: applying statistics for farmers and policy makers
Martin Boer (Biometris, WUR, Netherlands)
A mixed-model quantitative trait loci (QTL) analysis for multipleenvironment trial data
Session 4D Statistical analysis of longitudinal data (contributed)
Dylan Kneale (Institute of Education, University of London)
A cross-cohort comparison to examine changing patterns in leaving the parental home in Britain across three decades (1974-2004)
Paola Zaninotto (UCL)
Socioeconomic status and age trajectories of health among the older
Jenny Head (UCL)
Estimating social inequalities in trajectories of health decline in studies with informativedrop-out: a sensitivity analysis
Amanda Sacker (University of Essex)
A multiple process latent transition modelof poverty and health
Session 4E Health-related 3 (contributed)
Stephen Duffy (Barts and the London School of Medicine and Dentistry)
Problems and methods in deciding frequency of cancer screening
Marc Saez (GRECS, University of Girona, Spain)
Spatial variability in relative survival from female breast cancer
Paddy Farrington (Open University)
Self-controlled case series analyses with event-dependent observation periods
Karen J Cairns (Queens University Belfast)
Using discrete event simulation to assessthe impact of a colorectal screening programme
Session 4F Census and crime (contributed)
Jane Naylor (Office for National Statistics)
Balancing risk and utility – statistical disclosure control for the 2011 UK Census
Elizabeth Merrall (MRC Biostatistics Unit)
Multi-modal sentencing – potential forreduced pressure on the prison system and an in-built randomised controlled trial to assess impact on re-incarceration rates and costs
Yoav Benjamini (Tel Aviv University)
Discovering the false discovery rate
Session 3B International statistics 2 (invited)
Sally C Morton (American Statistical Association/RTI International)
Present and future challenges in statistics, and collaborative solutions
Marie Bohatá (EuroStat)
The role of the European Union in mastering the challenges for official statistics
Session 3C Agriculture and environment
Jon Barry (Cefas)
A model-based framework for the estimation of species richness from grab samples
Esben Budtz-Joergensen (Department of Biostatistics, University of Copenhagen)
Different approaches to model averaging in environmental risk assessment
Sebastian Dietz (University of Passau, Germany)
A multivariate cointegration approach to the influence of bioethanol and biodiesel on the price levels of certain agricultural commodities
Alan Kimber (University of Southampton)
Ripeness of bananas and manure: a prediction problem using a least squares support vector machine
Session 3D General (contributed) 2
Jian Zhang (University of York)
Semiparametric plaid models with applications
Neil Spencer (University of Hertfordshire)
Detecting misspecification in the multilevel model using the forward search
Biiman Chakrobarty (University of Birmingham)
On a multivariate generalisation of quantile-quantile plot
Session 3E Complex interventions in primary care (invited)
Michael J Campbell (University of Sheffield)
Patient decision aids in primary care
Nigel Stallard (Warwick Medical School, The University of Warwick)
Designing clinical trials of complexinterventions – what can we learn from adaptive designs for drug trials?
Toby Prevost (King's College London)
Meta-analysis methods for planning and evaluating behaviour-change interventions
Session 4A The surveillance society and the role of the statistician (Invited)
Stephen Penneck (ONS Director of Methodology)
Hugh O’Donnell MSP
Andrew Garratt (RSS Press and Public Affairs Officer)
Session 4B Statistical image analysis (invited)
Kanti V Mardia (University of Leeds)
Has there been any real impact of statistics on image analysis in the last three decades?
Elke Thönnes (Department of Statistics, University of Warwick)
Characterising HRCT lung images using integral geometry
Gerie van der Heijden (Netherlands)
Particle filters for controlling robots
Session 4C Agricultural statistics (invited)
Roger Payne (VSN International)
90 years of research and collaboration by statisticians in agricultural research
Iain McKendrick (Biomathematics and Statistics Scotland)
Statistical models of veterinary diagnostic test characteristics: applying statistics for farmers and policy makers
Martin Boer (Biometris, WUR, Netherlands)
A mixed-model quantitative trait loci (QTL) analysis for multipleenvironment trial data
Session 4D Statistical analysis of longitudinal data (contributed)
Dylan Kneale (Institute of Education, University of London)
A cross-cohort comparison to examine changing patterns in leaving the parental home in Britain across three decades (1974-2004)
Paola Zaninotto (UCL)
Socioeconomic status and age trajectories of health among the older
Jenny Head (UCL)
Estimating social inequalities in trajectories of health decline in studies with informativedrop-out: a sensitivity analysis
Amanda Sacker (University of Essex)
A multiple process latent transition modelof poverty and health
Session 4E Health-related 3 (contributed)
Stephen Duffy (Barts and the London School of Medicine and Dentistry)
Problems and methods in deciding frequency of cancer screening
Marc Saez (GRECS, University of Girona, Spain)
Spatial variability in relative survival from female breast cancer
Paddy Farrington (Open University)
Self-controlled case series analyses with event-dependent observation periods
Karen J Cairns (Queens University Belfast)
Using discrete event simulation to assessthe impact of a colorectal screening programme
Session 4F Census and crime (contributed)
Jane Naylor (Office for National Statistics)
Balancing risk and utility – statistical disclosure control for the 2011 UK Census
Elizabeth Merrall (MRC Biostatistics Unit)
Multi-modal sentencing – potential forreduced pressure on the prison system and an in-built randomised controlled trial to assess impact on re-incarceration rates and costs
Insight from a 'maverick master'
In opening his talk for Tuesday's second plenary session, Sir Iain Chalmers, related how he had left a calculus class "never to return". He said a colleague later reassured him that mathematical ability is a congenital abnormality.
While, on this basis, his 'abnormality' may not be mathematical, Sir Iain must have one to have achieved all that he has done leading to him having been described by another as the "maverick master of medical evidence".
Sir Iain took us on a historical tour of controlled trials. He opened by stressing that although the focus would be British, that the story was much more an international one. He noted, in particular, work done in the early part of the twentieth century in Boston, New York and Chicago.
It is impossible to do justice in this blog to the subjects covered in Sir Iain's talk. However, we understand that plenary sessions are being recorded to be made available over the internet so hopefully more will be able to appreciate this fascinating talk in the not too distant future.
While, on this basis, his 'abnormality' may not be mathematical, Sir Iain must have one to have achieved all that he has done leading to him having been described by another as the "maverick master of medical evidence".
Sir Iain took us on a historical tour of controlled trials. He opened by stressing that although the focus would be British, that the story was much more an international one. He noted, in particular, work done in the early part of the twentieth century in Boston, New York and Chicago.
It is impossible to do justice in this blog to the subjects covered in Sir Iain's talk. However, we understand that plenary sessions are being recorded to be made available over the internet so hopefully more will be able to appreciate this fascinating talk in the not too distant future.
Tripping the light fantastic
In his lyric poem, L'Allegro, John Milton wrote:
"Come, and trip it, as you go,
On the light fantastic toe"
from which we get the saying to trip the light fantastic as an extravagant way of describing dancing.
Of course, Milton's use of the word 'trip' was not to stumble as we might read it now. However, judging by the range of dance-related injuries sported by a number of delegates this morning it appears that some used the modern meaning at last night's Ceilidh! As to whether the collective moves made on the dance floor were fantastic, this blogger cannot deny that at least one of the following definitions of the word applies:
1. excellent: extraordinarily good
2. bizarre: extremely strange in appearance
3. incredible: apparently impossible but real or true
4. unlikely: unusual and unlikely to be successful
5. enormous: much larger than is usual, expected, or desirable
6. imaginary: existing only in the imagination
"Come, and trip it, as you go,
On the light fantastic toe"
from which we get the saying to trip the light fantastic as an extravagant way of describing dancing.
Of course, Milton's use of the word 'trip' was not to stumble as we might read it now. However, judging by the range of dance-related injuries sported by a number of delegates this morning it appears that some used the modern meaning at last night's Ceilidh! As to whether the collective moves made on the dance floor were fantastic, this blogger cannot deny that at least one of the following definitions of the word applies:
1. excellent: extraordinarily good
2. bizarre: extremely strange in appearance
3. incredible: apparently impossible but real or true
4. unlikely: unusual and unlikely to be successful
5. enormous: much larger than is usual, expected, or desirable
6. imaginary: existing only in the imagination
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