The migration

In the past couple of weeks, I’ve been doing lots of work to migrate my website and the blog to a fully-integrated version based on Hugo and blogdown. THE NEW ADDRESS IS http://www.statistica.it/gianluca/blog.

Plenty of people have written very good and detailed templates on how to migrate from other blogging platforms, so I won’t bother adding mine…

I think overall the transition has been OK — some hiccups mostly due to my limited proficiency with pure html, but I did manage to turn the basic (well, I say basic, but it’s actually pretty good and advanced!) academic template into something that is rather customised to my liking. For example, I’ve expanded the page width and included a more complex website structure, which basically replicates the older version — but better, I think.

I have spent lots of time fixing some small issues (eg in the blog posts — most have been fixed, but I think some links may be broken, or some images may not be placed where I had originally intended). Also, there are some bits and bobs that I still haven’t fixed exactly as I want — for example, the search bar (which is a bit of a more complex thing, because of course the site is static, so it requires some ingenuity to allow dynamic searches. People have done it, but I have to figure it out in all the details…). And I need to take care of syndication of the posts etc. But by and large, the new website is kind of ready to go!

For a few more posts, I'll keep both versions of the blog, while I'm setting up all the details in the transition.

Not long until abstract submission deadline...

Registration and Abstract Submission Open for

BAYES 2018: Bayesian Biostatistics Workshop

- Satellite of ISBA 2018

20^th – 22^nd June 2018 @ Homerton College, Cambridge, UK

www.bayes-pharma.org

*Not long until abstract submission deadline – 31^st March 2018* 

Overview

Bayesian statistics is increasingly taking on a leading role in all areas of biomedical research, continually challenged by emerging questions in clinical medicine and public health.

This workshop will bring together scientists interested in the latest applications and methodological developments of Bayesian Biostatistics in trial designs, addressing the need for more efficient and flexible approaches to answer key clinical questions; and in the analysis of complex observational data, to enhance causal understanding of disease processes in support of personalised clinical care and public health policies.

The objective of the workshop is multifold:

·         Promote Bayesian thinking and practice in biomedical sciences

·         Present applied case studies in clinical and non-clinical settings

·         Update delegates on new applications and methodological developments in Bayesian statistics in different areas of medicine and public health

·         Offer opportunities for statisticians for reorientation within the changing environment of the bio-pharmaceutical world

The three day workshop will comprise of a one day training course on Bayesian approaches to incorporate historical data into clinical trials, and two days of keynote talks and contributed oral and poster presentations.

 

Keynote Speakers

·         Professor Deborah Ashby - Imperial College London

·         Professor Mike Daniels – University of Florida

·         Professor Jack Lee – University of Texas

·         Professor Mihaela van der Schaar – Man Institute of Quantitative Finance, Oxford 

Abstract Submissions

We welcome abstract submissions for contributed oral presentations and posters on the following themes:

·         Adaptive trials

·         Bayesian approaches to bias modelling and causal inference

·         Decision support for health policy and clinical care

·         Bayesian contributions to regulatory setting  

Maximum abstract length is 350 words.

Please submit your abstract to: bayes-biostats2018@mrc-bsu.cam.ac.uk

Deadline for abstract submissions: 31^st March 2018

Registration

To register your place on the workshop, go to: http://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/bayes-2018-bayesian-biostatistics-conference/bayes-2018-bayesian-biostatistics-conference

Deadline for registering: 31^st May 2018

This workshop is endorsed by the International Society for Bayesian Analysis, Adolphe Quetelet Society and the Royal Statistical Society, and is supported by the MRC Biostatistics Unit, University of Cambridge

Organising Committee

Gianluca Baio (University College London, UK)
Alun Bedding (Roche, UK)

Nicky Best (GlaxSmithKline, UK)

Bruno Boulanger (Pharmalex (Arlenda, Belgium)

Daniela De Angelis (MRC Biostatistics Unit, University of Cambridge, UK)

Leonhard Held (University of Zurich, Switzerland)

Emmanuel Lesaffre (KULeuven, Belgium)

Sylvia Richardson (MRC Biostatistics Unit, University of Cambridge, UK)

Simon Wandel (Novartis, CH)

Free tweets

As part of their marketing strategy, Springer have tweeted a link to free download of Chapter 1 of our BCEA book. The tweet went out last Friday, but I think there's still time...

HTA R Us

Together with colleagues around the UK, we're organising a workshop on the use of R for statistical modelling in health economic evaluation (broadly speaking, "cost-effectiveness analysis").

It's good that this is exciting news (contributing to taking my mind off all the politics & elections in the world...). But I think this really is exciting news, with a very good line up of speakers/talks. And I really think the objectives of this workshop are very interesting $-$ I think, ultimately, we'll aim at also creating a repository for files/examples/models/templates so that people can start using R for their health economic modelling more and more.

Details below $-$ and Howard tells me the spaces are filling up very quickly...

One-day workshop on R for trial and model-based cost-effectiveness analysis

Venue: G12 in 1-19 Torrington Place, University College London, United Kingdom. https://goo.gl/maps/GJwZAmeozCM2

Date: 11^th July 2018.

Organizer: Howard Thom, Bristol Medical School: Population Health Sciences, University of Bristol.

It is our pleasure to announce a one-day workshop on the use of R for trial and model-based cost-effectiveness analysis (CEA). CEA is often done using Excel but, despite its ease of use, Excel incurs the disadvantages of slow computational speed and a lack of transparency; our workshop aims to explore the use of R for CEA as an alternative. A wide range of technical aspects, including a discussion of the many available add-on packages, will be presented to help users get the most out of R for CEA. Presentations and public discussions will address the computational and transparency advantages of R over Excel for CEA and for easing collaboration. Our expert speakers have diverse experience in government (including NICE), academia, and industry. There will also be a contributed oral presentation session and a poster session for which we invite  the submission of abstracts. Lunch and refreshments will be provided.  A preliminary programme is below. 

To register for this free event, please go to: https://www.eventbrite.com/e/one-day-workshop-on-r-for-trial-and-model-based-cost-effectiveness-analysis-tickets-43707673829

There is no registration deadline, but places are limited so it is recommended to register soon.

To submit an abstract, please send it to howard.thom@bristol.ac.uk with the subject “R for CEA abstract”. The word limit is 300. Please specific whether the abstract is for oral or poster presentation, or if either is acceptable. Note that only 4 oral presentation slots are available. Abstract submission deadline is 15^th May and the scientific committee will make decisions on acceptance by 1^st June 2018.

If you have any further queries please contact me on howard.thom@bristol.ac.uk

Best wishes,

Howard.

Scientific committee:

Howard Thom. Bristol Medical School: Population Health Sciences, University of Bristol.

Claire Williams. Bristol Medical School: Population Health Sciences, University of Bristol.

Nicky Welton. Bristol Medical School: Population Health Sciences, University of Bristol.

Padraig Dixon. Bristol Medical School: Population Health Sciences, University of Bristol.

Gianluca Baio. Department of Statistical Science, University College London.

Anthony Hatswell. Delta Hat Analytics, UK; Department of Statistical Science, University College London.

Marta Soares. Centre for Health Economics, University of York

Dyfrig Hughes. Centre for Health Economics & Medicines Evaluation, Bangor University

Chris Jackson. Medical Research Council Biostatistics Unit, University of Cambridge

Boby Mihaylova. Health Economics Research Centre, Nuffield Department of Public Health, University of Oxford.

Iryna Schlackow. Health Economics Research Centre, Nuffield Department of Public Health, University of Oxford.

Preliminary Program

9:30-9:45. Howard Thom. Welcome.

9:45-10:15. Gianluca Baio. Department of Statistical Science, University College London.

R you seriously saying we shouldn't use Excel?

This talk will showcase some of the R packages recently developed to aid the work of modellers working in health economic evaluations. The motivation and general philosophy of a few packages will be briefly presented. Examples of their use/advantages over more established, but often non-optimal computational tools, such as MS Excel will be demonstrated.

10:15-11:25. Marta Soares. Centre for Health Economics, University of York

Using R for Markov modelling: an introduction.

This talk introduces the use of R for generic decision modelling detailing some of the advantages and disadvantages of this software package in relation to others commonly used, such as MS Excel. In this talk, I also present generic R code for Markov modelling, probabilistic sensitivity analyses and value of information analyses (using Monte Carlo simulation).

10:25-11:05. Boby Mihaylova and Iryna Schlackow. Health Economics Research Centre, Nuffield Department of Public Health, University of Oxford.

A policy model of cardiovascular disease in moderate-to-advanced chronic kidney disease

This talk will present the design and structure in R of the SHARP CKD-CVD model, developed using the 5-years follow-up data of 10,000 patients with chronic kidney disease in the SHARP study.  The model projects chronic kidney disease progression and cardiovascular complications and mortality using a set of multivariate risk, cost and QoL equations. We will demonstrate the R Shiny-based model interface to enable use by external analysts and will discuss issues related to model functionality and speed of execution.

11:05-11:20. Coffee

11:20-12:20. Participants oral presentation session (4 speakers, 15 minutes each)

12:20-13:45. Lunch and poster presentations.

13:45-14:00. Dyfrig Hughes. Centre for Health Economics & Medicines Evaluation, Bangor University

Health technology assessors' perspectives on R

This session will present the perspectives of members of NICE evidence review groups, AWMSG secretariat and SMC independent assessors on sponsor submissions using R. The skill requirements, confidence and expertise of these groups in using R will also be discussed.

14:00-14:15. Howard Thom.

Value of information analysis in R.

This session will cover the methods for value of information analysis that can be implemented in R, including linearization, brute force Monte Carlo simulation, parallel computing, meta-modelling, multilevel Monte Carlo and quasi Monte Carlo.

14:15-14:25. Chris Jackson. Medical Research Council Biostatistics Unit, University of Cambridge

Continuous-time multi-state models for disease progression

This session will introduce the theory of modelling disease progression as a continuous-time multi-state process, and how this can be used in cost-effectiveness analysis. R software for continuous-time modelling of various patterns of observed data will be discussed.

14:25-14:45. Claire Williams. Bristol Medical School: Population Health Sciences, University of Bristol.

An overview of a suite of code and functions for CEA in R using continuous-time multi-state modelling

This session will give a brief snapshot of the code already available in a tutorial paper detailing how to carry out Markov and semi-Markov modelling using the continuous-time multi-state modelling survival analysis framework. It will include how to carry out deterministic and probabilistic sensitivity analysis and appropriate graphical outputs.

14:45-15:00. Coffee

15:00-15:15. Anthony Hatswell. Delta Hat Analytics, UK; Department of Statistical Science, University College London.

Existing frameworks for collaborative working

This session will outline various ways of working currently used in collaborative efforts in the health economics and connected spheres. The pros and cons of each approach will be outlines, and how the use of R may be promoted under each of the scenarios.

15:15-16:30. Participant discussion.

16:30-16:45. Howard Thom. Close and conclusions.

Job advert

We have a job opening at UCL $-$ this time is in the Institute of Clinical Trials & Methodology and is for a Research Associate in Health Economics. Full details below.

Applications are invited for a Research Associate in Health Economics to join the growing number of health economics researchers at UCL and its partner institutions. The post will join the Health Economics Analysis and Research Methodology Team in the Institute for Clinical Trials and Methodology (ICTM) at UCL, working primarily with the Comprehensive Clinical Trials Unit (CCTU).

The post focuses primarily on economic evaluations and decision modelling alongside randomised controlled trials and provides a unique opportunity for a researcher in health economics who would like training and hands on experience of economic evaluations using trial data. The CCTU has a growing portfolio of large, multi-centre randomised control trials in pharmaceutical, surgical and specialist interventions providing the post holder with experience in the design, conduct and analysis of these trials. As a member of the CCTU you will be involved in the health economic components throughout the lifetime of the trial. Training and support will be provided by your colleagues in the Health Economics Analysis and Research Methodology Team to provide you with the skills you need to confidently undertake your role. The post also provides the opportunity for the successful applicant to pursue their own research interests.

For more information or to apply for this role please go to:

http://www.jobs.ac.uk/job/BIB990/research-associate-in-health-economics

Salary: £34,635 to £41,864

The post is for 1 year in the first instance, but with the potential to extend this.

Closing date for applications: 1 April 2018

Commonwealth Games

Earlier this week, we found out that we have secured the Commonwealth Share Scholarship for our Master Programme in Health Economics & Decision Science.

The Commonwealth Shared Scholarship Scheme is a joint initiative between the Commonwealth Scholarship Commission (with funding from the Department for International Development (DFID), and UK universities, to support scholarships for students from developing Commonwealth countries who would not otherwise be able to study in the United Kingdom.

The aim of the scheme is to assist students from developing Commonwealth countries who are of excellent academic calibre but for financial reasons would not otherwise be able to afford to study in the United Kingdom. The scheme allows them to benefit from postgraduate study at a university in the United Kingdom which will help them to contribute toward the development of their home countries.

Applicants must:

• Be a Commonwealth citizen, refugee, or British protected person;
• Be permanently resident in a developing Commonwealth country (for a full list of eligible countries, see the Commonwealth Scholarships Commission terms and conditions;
• Be available to start your academic studies in the UK by the start of the UK academic year in September/October 2018;
• By August 2018, hold a first degree of either first or upper second class (2:1) classification, or lower second class (2:2) classification plus a relevant postgraduate qualification (usually a Master’s degree);
• Not have studied or worked for one (academic) year or more in a developed country;
• Be unable, either yourself or through your family, to pay to study in the UK.

More info here.

Significance early-career writing competition

We've just issued the call for entries for our 2018 writing competition for early-career statisticians. Details of the competition are available online here.

The competition is open to: (1) Students currently studying for a first degree, Master's or PhD in statistics or related subjects; and (2) Graduates whose last qualification in statistics or related subjects (whether first degree, Master's or PhD) was not more than five years ago.

Last year’s winner, Kevin Lin, analysed user activity on the social media site, Reddit, to see whether young people were now more engaged with political news and topics. The year before that, Adam B. Kashlak won for his analysis of State of the Union addresses throughout history, showing how use of the word “America” by sitting US presidents had increased over time.

The closing date is 28 May 2018.

Acro-juggling

Yesterday, we held our UCL Health Economics Network Symposium. 

Kobi has been poorly since Friday, which of course has coincide with a particularly busy week end/start to the new week... Sunday night was particularly bad and we managed to accomplish a trip to A&E (luckily all is good) and some healthy running around so that someone was at home with him at any given time, while teaching and, in fact, going to the Symposium (the picture to the left shows Marta and I practising our acro-juggling...).

Anyway, despite being low on sleep and rather high on coffee, I managed to talk about our work on Bayesian modelling on missing data in health economic evaluation and our research group in general $-$ Anna and Spyros also presented nice posters about their respective work. Copies of the slides that were presented yesterday are also available here.

I think the event (or to be more precise, what I managed to catch of it) was very interesting and we attracted a varied range of people from within and outside academia, which was really one of the main objectives. And I think the plan is to turn this into an annual event.

PhD studentships @ UCL

My department at UCL has been allocated 1 EPSRC Doctoral Training Partnership (DTP) award for 2018/19. The award will be 4 years in duration (or 6 years for part-time candidates), covering UK/EU fees, minimum RCUK stipend and a small allowance for consumables. To be eligible for the full award a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship.

Marta and I have a joint project on "An integrated Bayesian approach in air pollution and health studies: linking exposure, health and economic evaluation", which is basically a 50:50 mixture of hers and my own signature dishes... Not as fancy as the stuff we've done together in the past $-$ but probably a tiny bit more relevant...

The advert is now live on the UCL website (amongst other places).

501 days of Summer (school)

As I anticipated earlier, we're now ready to open registration for our Summer School in Florence (I was waiting for UCL to set up the registration system and thought it may take much longer than it actually did $-$ so well done UCL!).

We'll probably have a few changes here and there in the timetable $-$ we're thinking of introducing some new topics and I think I'll certainly merge a couple of my intro lectures, to leave some time for those... 

Nothing is fixed yet and we're in the process of deliberating all the changes $-$ but I'll post as soon as we have a clearer plan for the revised timetable.

Here's the advert (which I've sent out to some relevant mailing list, also).

Summer school: Bayesian methods in health economics

Date: 4-8 June 2018

Venue: CISL Study Center, Florence (Italy)

COURSE ORGANISERS: Gianluca Baio, Chris Jackson, Nicky Welton, Mark Strong, Anna Heath

OVERVIEW:

This summer school is intended to provide an introduction to Bayesian analysis and MCMC methods using R and MCMC sampling software (such as OpenBUGS and JAGS), as applied to cost-effectiveness analysis and typical models used in health economic evaluations. We will present a range of modelling strategies for cost-effectiveness analysis as well as recent methodological developments for the analysis of the value of information.

The course is intended for health economists, statisticians, and decision modellers interested in the practice of Bayesian modelling and will be based on a mixture of lectures and computer practicals, although the emphasis will be on examples of applied analysis: software and code to carry out the analyses will be provided. Participants are encouraged to bring their own laptops for the practicals.

We shall assume a basic knowledge of standard methods in health economics and some familiarity with a range of probability distributions, regression analysis, Markov models and random-effects meta-analysis. However, statistical concepts are reviewed in the context of applied health economic evaluations in the lectures.

The summer school is hosted in the beautiful complex of the Centro Studi Cisl, overlooking and a short distance from Florence (Italy). The registration fees include full board accommodation in the Centro Studi. 

More information can be found at the summer school webpage. Registration is available from the UCL Store. For more details or enquiries, email Dr Gianluca Baio.

If you've got an issue...

I've just got an email alert to the very last issue of Medical Decision Making, which I found very, very interesting.

I knew of a couple of papers through either reviewing or other means, but I have to say, by looking at titles & abstracts, there's quite a few of interesting reads out there... Will need to find the time to do some proper reading, I think. 

500 days of Summer (school)

We're nearly ready to advertise the 2018 edition of our Florence Summer School on Bayesian Methods in Health Economics (some posts from last year are here and here )! The dates are June 4-8 and we'll hold it again at the CISL Centro Studi.

Last year, I was very pleased with the whole experience and I think people were also very happy, so we're planning to have more fun in a few months. As soon as the UCL store is set up for us to accept registration, we'll go live (and I'll post again).

Bayes 2018/Bayesian Biostatistics

This year, our annual Bayes 20XX conference has been jointly organised with the MRC Biostatistics Unit Cambridge and is also a satellite event before the main ISBA conference in Edinburgh.

I believe that the call for abstract is now officially open (or will be very, very shortly). We have a very good lineup of speakers, so, as usual, should be very good and I already look forward to it!

Brexit^{-1}

I've been asked to post about the EuroCIM (European Causal Inference Meeting), which will be held later this year in Florence. I very happily oblige, because: a) this is usually a very good conference; b) it is organised by nice and obviously very good people (well $-$ at least I like them!); c) at a time where everything UK seem to move away from anything Euro, it's actually very nice to see a conference formerly known as UKCIM going fully Euro!

EuroCIM: the European Causal Inference Meeting, April 2018, Florence

 We are pleased to announce that after five successful editions of the UK-CIM, *the first European Causal Inference Meeting (EuroCIM) will take place in Florence, Italy, in April 2018. *The meeting will be focused on “*Causal Inference in Health, Economic and Social Sciences*”. EuroCIM 2018 is organized by the Department of Statistics, Computer Science, Applications (DiSIA) and ARCO of the University of Florence, Italy. Conference dates are Wednesday April 11 to Friday April 13 2018, early bird January 17, Submission of Abstracts February 1. The conference will include keynote addresses from:

• Donald Rubin (Harvard University)

• Vanessa Didelez (University of Bremen) 

• Michael Hudgens (University of North Carolina)

Moreover, on April 10 2018 four workshops will be offered by Rhian Daniel (Cardiff University), Johannes Textor (Radboud University Medical Center), Fabrizia Mealli (University of Florence) and Guido Imbens (Stanford Graduate School of Business). The conference will also feature presentations and a poster section that will give researchers and practitioners the opportunity to show their work. For more info on the meeting, the fees, how to register and submit an abstract please visit: http://eurocim2018.arcolab.org/

MSc studentships @ UCL

Two National Institute for Health Research (NIHR) studentships in Medical Statistics are available for the 2018/19 academic year. The studentships cover tuition fees at the UK/EU rate and a maintenance stipend of £17,050 per annum (based on the standard UK Research Council rate with London weighting). All eligible applicants for the MSc Medical Statistics Course will automatically be considered. And: you don't have to be a capricorn...

For further information please contact Dr Russell Evans (russell.evans@ucl.ac.uk)

A Bayesian analysis of polls in the Catalan elections

(Invited post by Virgilio Gómez-Rubio, UCLM, Albacete, Spain. Thanks Gianluca for the invitation!!)

I have been involved in the planning and analysis or survey polls almost since I came back to Albacete 9 years ago. Last months in Spanish politics have been dominated by the 'Catalan referendum' and the call for new elections from the national government via article 155 in the Spanish Constitution (which had never been enforced before). This elections have been different for many reasons, so I decided to do a (last minute) analysis of the available polls to try to predict the allocation of seats in the elections.

The Catalan parliament has 135 seats, split in four electoral districts which correspond to the four provinces in the region, with different number of seats depending on their population: Barcelona (85 seats), Gerona (17 seats), Lérida (15 seats) and Tarragona (18 seats). Seats are allocated according to D'Hondt method.

Several polls have been published in the mass media, and the proportions of votes to parties (as well as sample size, etc.)  are either reported at the regional level  (which is useless to allocate seats per provinces) and province level. Given that most polls are aggregated at the regional level it makes sense to combine both types of polls into a single model to provide some insight on the voters' preferences at the province level to allocate the number of seats.

Bayesian hierarchical models are great at combining information from different sources. The model that I have considered now is very simple. The number of votes (reported in the poll) to each party at the regional level are assumed to follow a multinomial distribution with probabilities $P_i,  i=1,\ldots, p$, where $p$ is the number of political parties. In this case, we have 7 main parties plus another group for 'other parties'. Probabilities $P_i$ are assigned a vague Dirichlet prior. The number of votes at the province level are assumed to follow a multinomial distribution as well, with probabilities $p_{i,j},\ i=1,\ldots,p, j=1,\ldots,4.$. Both probabilities are linked by assuming that $\log(p_{i,j})$ is proportional to  $\log(P_i)$ plus a province-party specific random effect $u_{i,j}$. I have used this model before with good results.

As simple as it is, this model allows the combination of polls at different aggregation levels. I have used JAGS to fit the model and to allocate the number of seats by exploiting the probabilities from the MCMC output to obtain 10000 draws of the allocation of seats by applying D'Hont rule to the proportion of votes to each party at the proven level.

Next plot shows the distribution of seats against the actual distribution of seats:

I'd say the coverage is good for most parties. Polls did not show the loss of voters for CUP and Partido Popular (PP).

Another nice thing of being Bayesian (and using MCMC) is that other probabilities could be computed. For example, the next plot shows the posterior distribution of the number of seats allocated to pro-independence parties so that the probability of them having a majority can be computed (59.86%):

As I promised to have a shot for each seat allocated correctly, I've got some work left to do until the end of the Christmas break... Merry Christmas and Happy New Year!!!

Does Peppa Pig encourage inappropriate use of primary care resources?

This is a very important contribution to the medical literature, recently published in the BMJ.

I think the sample size is probably not large enough to grant robust inference. And perhaps it would have been helpful to consider alternative settings, say to consider the wide diversity in the target population of Ben and Holly's little Kingdom, just to give an example. 

But I do applaud the effort of the author!

Unpleasantville

Last week, Kristian Lum has written a blog post to report her experience of inappropriate behaviour by some senior male colleagues at statistical conferences (ISBA and JSM, in particular).

I don't personally know Kristian, although I think I did have lunch with her, a common friend and bunch of other people, at JSM in Montreal in 2013. Anyway, even if I were completely agnostic about the whole thing (and I don't think I am...), seems to me like her account has been corroborated by some hard facts as well as discussion with other friends/colleagues who actually know her rather well. So while it's important to avoid "courts martial", I think the discussion here isn't really about whether these things happened or not (which at this point I'm pretty sure they did $-$ just to clarify). 

I've been left with mixed feelings and a sense of kind-of-having lost my bearings, since I found this out last week. Firstly, I am not surprised to hear that such things can happen at a conference or in academia, in general. What has kind of surprised me is the fact that while I do move more or less in those circles, I wasn't aware of the reputation of the two people who have been named. Some people (for example here) have made a point that these stories were well known and Kristian said so herself in her blog post. As somebody who's involved in ISBA, this is troubling and I kind of feel like we've hid our collective head under the sand, possibly for a very long time. To be fair, ISBA is now coming up with a task-force to create protocols and prevent issues such as these arising again in the future. Still, doesn't feel particularly good...

Secondly, this may be some sort of self-preservation (or may be denial?) instinct and may be there is indeed a much more rooted problem in statistics and in fact in Bayesian statistics, which I make myself struggle to see because it hurts to think that the environment in which I work is actually flawed in bad ways. But what I mean is that perhaps it's not like there's a couple of areas in which bad guys operate and if only we could get rid of those bad guys in those areas, then society would be idyllic. I think that, unfortunately, there's plenty of examples where people with/in power (statistically more likely to be white men) do behave badly and abuse their power in many ways, including sexually. May be our field does represent men disproportionately $-$ and it may well be that this is even truer for Bayesian statistics than for other branches of statistical science. And so, as painful as it is to realise quite clearly that the grass ain't so green after all, it is what it is. But the problem is (much) bigger than that...

Finally, I've particularly liked my friend Julien's Facebook post (I actually see now that he was in fact linking to somebody else's tweet):

Retweeted Carlos Scheidegger (@scheidegger):
We should all read and acknowledge @KLdivergence's and other women's harrowing stories. But I want to try something different here. Do you all know of her amazing work at @hrdag? This, on predictive policing, is so good https://t.co/YDsijFsiT2 https://t.co/GbwgKzSgMb

Dan's post has some lengthy discussion about the use of the term "mediocre" to characterise the two offenders. I think that neither mediocrity (= how poor one is at their work) nor excellence (= how good one is at their work) should be excuses $-$ but I see how this may matter because, arguably, the better and more respected you are in your field, the more power you wield over junior colleagues... But I think it feels right to point out Kristian's work qualities. Somehow, it seems to put things in a better perspective, I think.