Chair, Programme Committee, RSS 2010
Friday, 17 September 2010
Close of Conference
Chair, Programme Committee, RSS 2010
Significance session
They have both turned into media stars at communicating science and stats; and they have both done good stuff for Significance. Yan’s pleasantly surreal piece was on cows pointing north. Danny’s several pieces included one on his mad, wrong-shaped maps of the world, which looked rather fantastic on the page and made that piece one of the best-looking that we have ever run. Yan doesn’t only have a Ph.D in genetic self-destruct mechanisms in plants; he hasn’t only helped Richard Dawkins write his best-selling ‘The Ancestor’s Tale’; his big-time fame comes from presenting BBC’s flagship popular science programme ‘Bang Goes the Theory’ – which by excellent timing has just started its third series. It’s had magnetic cows, cyclists powering a house, and spawned a facebook ‘We Love Yan’ page. Episode 2 of Bang Goes the Theory is on tonight, at 7.30. Catch it!
But first catch him, and Danny, at the Significance plenary session. 12.15. Be there!
Julian Champkin,
Editor, Significance.
Conference Dinner
Wednesday, 15 September 2010
the fun of the fair
conference in high gear
The highlight of the conference today was the presentation I made at noon. OK, not really, but I did have the opportunity to present a talk titled “Building Trust: Accreditation and the Professionalization of Statistics.” In it, I explored ways we might take advantage of the synergy created by accreditation programs in four statistical societies (the American Statistical Association (ASA), the Royal Statistical Society (RSS), the Statistical Society of Canada (SSC), and the Statistical Society of Australia, Inc. (SSAI)) to further advance the status of statistics as a profession. The RSS and the ASA are finding a number of ways to collaborate, and accreditation is one of them.
The real highlight of the conference today, for me, was the preliminary announcement of the “getstats” program, a 10-year statistical literacy campaign created and led by the RSS. Martin Dougherty, Executive Director of the RSS, presented an overview of the campaign, which will launch officially on October 20 (20.10.2010), which the UN has designated as World Statistics Day. The goal of this campaign is well and succinctly stated: “A society in which our lives and choices are enriched by an understanding of statistics.” It is an ambitious goal, a truth that was brilliantly illustrated by a video Martin put together. The video is a “vox pop,” a series of interviews on the streets of London. People are asked some basic non-technical questions about the relevance and roles of statistics and statisticians. These were people who are clearly literate, but are also clearly not statistically literate. Clearly, there is work to be done.
The plenary sessions were excellent today as well. In the morning, Robert Groves, Director of the US Census Bureau, gave the Campion Lecture. Bob is a superb statistician and an extraordinary leader, and as Census Director he has served his country with distinction. He took on a census that was in the midst of some political turmoil, and quieted things down quickly. Thanks to his work, and that of the vast census team, the US has had a successful decennial census. One of the many things that impress me about Bob is his ability to listen constructively to criticism, even when it isn’t offered constructively.
In a thoughtful and informative talk, Bob reviewed the status of the 2010 census in the US, considered measures of data quality, and provided a look ahead at issues that will need to be addressed.
In the afternoon, Tim Davis, who is both a Chartered Statistician and a Chartered Engineer, discussed the role of statistics and statisticians in engineering. He encouraged early career statisticians to consider going to work in industry, where he said there is great need for their skills. Among many interesting things Tim said, I was particularly interested in his observation that it is the job of the statistical investigator/collaborator to a) encourage creativity (in research and experimentation) and b) ensure convergence (between theory and practice, or theory and data).
Once again, there was an excellent variety of concurrent sessions. I focused on sessions relating to the growth of professionals and the profession, but there was something for virtually everyone. I particularly enjoyed a session on statistical education in the UK, with the clever title “Cornish pasties and learning from teaching statistics.” Unfortunately, convention centre rules made it impossible for us to taste test the pasties.
In the late afternoon, I had the opportunity to get out and stimulate the local economy, and greatly added to the weight of my suitcase going home.
So I will wrap up my blogging from Brighton with three sets of thank yous: (1) to Gerald Goodall and Andy Garrett of the RSS, Judy-Anne Chapman of the SSC, and Nick Fisher of the SSAI for their wisdom and insight, which helped my presentation immensely; (2) to the staff of the RSS for warm hospitality and a superbly executed conference; and (3) to the ASA for making my participation at this conference possible.
Carry on, then!
Statistical Engineering @ Brighton - Slides available
Thanks
Tim Davis
The Poster Competition
This year I have been allowed to judge a bit of the poster competition. Judging is fun. Specially when you are allowed to do it with a glass of wine in your hand.
I and the proper judges wandered round the posters on Tuesday evening, chatting as we went to the posters’ creators. My colleagues judged no doubt according to quality of statistics, innovative thought, relevance of methodology and analysis and suchlike. I had a much easier brief. It was: Could I understand it?
This year, the poster competition has an additional prize: The Significance prize for the poster which best communicates its message. That’s the bit that I was judging. Judges in past years have complained that some entries contained excellent and advanced statistics that were completely incomprehensible. I was looking for the reverse: I was looking for a poster which might translate into the sort of article that could go into Significance – in other words, a poster that even a non-statistician would find interesting.
Going round, you notice some points straight away. Print size is one. Does it contain acres of small print that you have to read with your nose up against the poster, blocking everyone else’s view for the 20 minutes it takes to slog through it? Or is there nice big print, not too many words, easily readable by the middle-aged like me from a reasonable distance? Layout helps. I was slightly baffled by one otherwise excellent poster, laid out in three columns, til I realised that I was supposed to start reading at the top of the middle column; I’d started, as with a newspaper, on the left.
Say ‘Poster’ to most people and what they think of is pictures not words. A picture is worth a thousand words; and a thousand words is far too many to fit on a poster. But you can fit three or four pictures on, – so, presumably, three or four times the amount of information.
So I was tempted by posters like P31, Andrea Roalfe’s ‘Working as an Applied Statistician in Primary Care and General Practice’; each type of illness she worked on had a picture to illustrate it. Much better than a dry list. Even more than pictures, people like pretty pictures. P9, ‘Supporting statistics in schools,’ scored highly there with its fluffy koala – but came from Australia, where they are entitled to use fluffy koalas as relevant to almost everything. How do you get an attractive picture into, for example, P14, ‘Assessing the Effect of Informative Censoring in Piecewise Parametric Survival Models?’ I don’t know. Probably you cannot. Still, those ones can still be in contention for the proper prize. P6, Tom Gerlach’s ‘Census rehearsal 2009’, with its image of a red-curtained theatre stage, looked marvellous – though it did perhaps lack content. Still, if statistics ever fails him, he should have a great future in design or advertising.
The real key, though, is clarity. Call it the quality of explaining things. Can you understand it at a glance? At first reading? It obviously helps if the message itself is fairly simple. As I have said, I was not looking for cutting-edge statistics. A useful application of standard statistical techniques is just as good for telling the great public why we all need statistics and statisticians.
The winner I chose uses simple statistics and clear graphs and explains its purpose clearly. I could understand what it was saying almost at first glance; three minutes reading it enhanced that understanding. It has a clear conclusion as well, and that conclusion is an important and an interesting and a useful one, and one which should influence real-life decisions and what people actually do. All of which makes it ideal for the basis of an article in Significance magazine – and, I suppose, a near-ideal poster as well. It will be announced at the conference dinner on Thursday. Before then, see if you can guess which one I have chosen.
Julian Champkin,Editor, Significance
Tuesday, 14 September 2010
breadth of statistics profession evident at RSS annual meeting
David Hand, RSS President, brought words of welcome to the conferees. He noted the upcoming World Statistics Day on 20.10.2010, and emphasized the significance of the United Nations’ recognition of the important contributions of statistics and statisticians. Unfortunately, Hand noted, the level of public recognition is still rather small.
President Hand then presented an Honorary Fellowship to Janet Derbyshire for her important work in clinical trials, especially for her consistent recognition of the role of statistics in drug development. According to the RSS website, “Honorary fellowships are awarded for the Society to recognise the contribution of individuals of great eminence working in fields related to statistics who are not members of the statistical profession.”
In the concurrent sessions, there were a rich variety of themes addressed. Kudos are due to Vern Farewell and the rest of the programme committee for a job very well done.
Genomics, climate science, statistics and the law, and adaptive clinical trials are just some of examples of today’s presentations, reflective of the breadth of our profession. I attended a particularly interesting session in which three sources of data for climate science (plankton, surface temperatures, and ice cores) were discussed. Methods of measurement and modeling of uncertainty were shown. The speakers were clear, and did a nice job of talking in understandable terms about the science of measurement and the statistical science involved as well. However, as happens sometimes in discussions of climates, some of the questions after the talks reflected the biases of the questioners rather than the content presented.
A very nice set of posters were on display during the day and featured in the late afternoon. The topics and the locales represented were diverse, though a majority of them focused on some aspect of statistical work in the health sciences. The quality of the work was quite impressive.
The day was capped by the conference social, held out on the Brighton Pier, which was virtually empty (except for RSS conferees) due to the high winds lashing the area. But inside the pub I found cold drinks, warm food and even warmer fellowship. Some of the planned activities had to be cut back because of the weather, but it was a delightful evening nonetheless.
I am already regretting that I have to return home on Thursday, as I realize how many excellent sessions I will miss. In the future I will ask my friends to look at the RSS calendar before setting their wedding dates.
Fishy Business
One hot topic for canapes chatter was who are the top 10 statisticians in the last century. Leading names were Cox, Fisher, Lindley, Box, Nelder ...now thrown open to the conference to add another 5 and agree the ranking!
Mary Sweetland
Monday, 13 September 2010
lovely reception, slightly less lovely weather
Registration began this afternoon, and in typical sharp RSS fashion, it was well organized. I was in and out of registration in under a minute, but spent several very pleasant minutes afterward meeting and greeting RSS staff.
The weather got quite blustery and then rather wet this afternoon. Medium-sized waves crashed loudly against the beach and the Brighton Pier. It is a bit chilly as well, or so it seems to someone coming from the lingering summer weather in the US. Nonetheless, the coast and the town are spectacular, a great setting for the conference.
The scientific programme begins tomorrow with opening remarks from David Hand, RSS President and a plenary talk by Peter Donnelly of Oxford. We’ll all be there Brighton-early (sorry, I have a rather nasty addiction to puns).
Statistical Engineering and a theory that dates back to 1914
One of the best methods that I have come across which exemplifies the inductive-deductive iterative nature of statistical investigations (see my first post) dates back to 1914 – the so-called “Pi” theorem of E Buckingham; I will illustrate the use of the “Pi” theorem using the well known paper-helicopter experiment, which many people who have taught statistical methods to engineers will be familiar with. If we adopt a completely empirical approach, we might decide to run a response surface experiment to model the flight time of the helicopter as a function of various design parameters; three design parameters might require about 15 runs in the experiment to develop the transfer function. However, if we think for a minute about the physics, we know that the flight time will be a function of the mass of the helicopter, and the area swept out by the rotors, together with the force due to gravity, and the density of air – and all of these quantities are known. The application of the “Pi” theorem, which reduces the dimensionality of the problem, and does not require linearity to ensure dimensional consistency, reveals that the number of experimental runs can be reduced to about three. It is a mystery as to why the “Pi” theorem isn’t referenced in any of the classic texts on response surface methodology and design of experiments; is it because not enough statisticians are interested in engineering?
Friday, 10 September 2010
getstats zone at RSS 2010
Thursday, 9 September 2010
Robustness in Engineering
In engineering, reliability problems come about for essentially only two reasons 1) mistakes, and 2) lack of robustness. Genichi Taguchi did much to bring to our attention the idea of robustness (making designs insensitive to variation, or “noises”), although others had been there too, notably RSS Fellow and Greenfield medallist Jim Morrison as far back as 1957. Taguchi had some important things to say about strategies for improving robustness, one being that engineers should first look to desensitize their designs to variation through experimenting with design parameters related to geometry, material properties and the like, and not to choose the more obvious path of trying to reduce or eliminate the noises. I will explain some of Taguchi’s ideas, and hope to demonstrate that he didn’t deserve some of the attacks on him by the statistical profession at the time, in stark contrast to the way our profession seems to have embraced the Six Sigma movement with nothing like the same scrutiny afforded to Taguchi’s work.
Tim Davis
Wednesday, 8 September 2010
The role of likelihood in statistical science
Tuesday, 7 September 2010
Predicting Credit Default Rates
Sunday, 5 September 2010
Statistical Engineering & Reliability
High profile cases like BP, Toyota, and Firestone bring into sharp relief the subject of engineering for reliability. As statisticians, we seem to have got everybody from ourselves, to scientists & engineers, to senior management and to regulatory authorities, comfortable with the idea of expressing reliability as a probability. Indeed, in media interviews, the BP CEO quoted a failure probability of “about 10-5” for the oil rig that exploded causing the spill. In his investigation into the 1986 Challenger disaster, when NASA management had quoted a similar probability for the reliability of the Space Shuttle, Richard Feynman said in his report into the accident “What is the cause of management's fantastic faith in the machinery?” Probability measures for reliability may be appropriate for some fields of engineering, but I will introduce an information based definition that is better suited to many engineering situations (including automotive) where the probability definition simply can’t be measured. I will argue that the focus should be on evaluating the efficacy of counter measures for identified potential failure modes, and the statistical methods required to evaluate this efficacy are much different to those required in attempting to measure reliability through a probability.
Tim Davis