Monday, 9 October 2017

Summer school in Leuven

Emmanuel has organised earlier this year the first edition of the Summer School on Advanced Bayesian Methods, in the beautiful Belgian town of Leuven (which is also where we had our Bayes conference a couple of years ago).

For next year, they have planned the second edition, which will run from 24th to 28th September and I'm thrilled that they have invited me to do the second part on... you guessed it: Bayesian Methods in Health Economic Evaluation.

The programme is really interesting and Mike Daniels will do the first three days on Bayesian Parametric and Nonparametric Methods for Missing Data and Causal Inference. 

Wednesday, 27 September 2017

24. Nearly.

As the academic year is beginning (our courses will officially start next week), this week has seen the arrival of our new students, including those in our MSc Health Economics & Decision Science (I've talked about this here and here).

When we set out the planning, we were a bit nervous because, while everybody at UCL has been very encouraging and supportive, we were also given a rather hard target $-$ get at least 12 students, or else this is not viable. (I don't think we were actually told what would have happened if we had recruited fewer students. But I don't think we cared to ask $-$ the tone seemed scary enough)...

Well, as it happens, we've effectively doubled the target and we now have 22 students starting on the programme $-$ there may be a couple more additions, but even if they fail to turn up, I think Jolene, Marcos and I will count ourselves very happy! I've spoken to some of the students yesterday and earlier today and they all seem very enthusiastic, which is obviously very good!

Related to this, we'll soon start our new seminar series, to which all the MSc students are "strongly encouraged" to participate. But I'll post more generally in case they may be of interest to a wider audience...

Friday, 8 September 2017

Building the EVSI

Anna and I have just arxived a paper (that we've also submitted to Value in Health), in which we're trying to publicise more widely and in a less technical way the "Moment Matching" method (which we sent to MDM and should be on track and possibly out soon...) to estimate the Expected Value of Sample Information.

The main point of this paper is to showcase the method and highlight its usability $-$ we are also working on computational tools that we'll use to simplify and generalise the analysis. It's an exciting project, I think and luckily we've got our hands on data and designs for some real studies, so we can play around them, which is also nice. I'll post more soon.

Anna has suggested the title of the paper with Bob the builder in mind (so "Can we do it? Yes we can"), although perhaps President Obama (simply "Yes we can") may have worked better. Either way, the picture to the left is just perfect for when we turn this into a presentation...

Thursday, 7 September 2017

Planes, trains and automobiles

For some reason, Kobi's favourite thing in the world is flying on an airplane, with making paper airplanes a very closed second and playing airport pretending to check (real) suitcases in and setting off through security as a rather close third.

So it's not surprising that he was quite upset when I told him I would go on an airplane not once, not twice, but three times in the space of just a couple of weeks (in fact, I'll fly to Pisa, then Paris, come back on a train, ride a train again to Brussels and back and finally fly to Bologna and back, all to give talks at several places. From Bologna, I'll actually need to hire a car, because my talk is in nearby Parma). 

I think for a moment Kobi did consider stop loving me. But luckily, I think the crisis has been averted and I got him back on good terms when I told him it's not too long until he can fly again...

Yesterday I was Glasgow to give a talk at the Conference of the Royal Statistical Society in the first leg of my September travels-for-talks. My talk was in a session on missing data in health economic evaluation, with Andrew Briggs and James Carpenter also speaking. I think the session was really interesting and we had a rather good audience, so I was pleased with that.

My talk was basically stealing from Andrea's PhD work $-$ we (this includes also Alexina and Rachael who are co-supervising the project) have been doing some interesting stuff on modelling costs and benefit individual level data accounting for correlation between the outcomes; skeweness in the distributions; and "structural" values (eg spikes at QALY values of 1, which cannot be modelled directly using a Beta distribution).

Andrea has done some very good work also in programming the relevant functions in BUGS/JAGS (and he's having a stub at Stan too) into a beta-version of what we'll be our next package (we have called it missingHE) $-$ I'll say more on this when we have a little more established material ready.

The next trip is to Paris on Monday to give a talk at the Department of Biostatistics, in the Institut Gustav Roussy, where I'll speak about (you guessed it...)  Bayesian methods in health economics. I'll link to my presentation (that is when I'm finished tweaking it...).

Wednesday, 30 August 2017

A couple of things...

Just a couple of interesting things...


1. Petros sends me this advert for a post as Biostatistician at the Hospital for Sick Children in Toronto
The Child Health Evaluative Sciences Program at the Hospital for Sick Children in Toronto is recruiting a PhD Biostatistician to lead the execution of a CIHR funded clinical trial methodology project, and the planning of upcoming trials with a focus on:
  • improving and using methods of Bayesian Decision analysis and Value of Information in pediatric trial design and analysis;
  • using patient and caregiver preference elicitation methods (e.g. discrete choice experiments) in pediatrics;
  • developing of statistical plan and conducting the statistical analysis for pediatric clinical trials.
The Biostatistician will collaborate with the Principal Investigators (PIs) of four trials that are in the design stage, and with two senior biostatisticians and methodologists within the CHES program. The successful candidate will have protected time for independent methods development. A cross appointment with the Dalla Lana School of Public Health at the University of Toronto will be sought.

Here’s What You’ll Get To Do:
In collaboration with the trials’ Principal Investigators (PIs), develop the study protocols;
Contribute in the conceptualization and development of decision analytic models;
Contribute in conducting literature reviews and keep current with study literature;
Assist with design/development and implementation of value of information methods;
Contribute to preparation of reports, presentations, and manuscripts.

Here’s What You’ll Need:
Graduate degree in Statistics, Biostatistics, Health Economics or a related discipline;
Ability to function independently yet collaboratively within a team;
Excellent statistical programming skills predominantly using R software; 
Experience with report and manuscript writing;
Effective communication, interpersonal, facilitation and organizational skills;
Meticulous attention to detail.
Employment Type: 

Temporary, Full-Time (3 year contract with possibilities for renewal)

Contacts: Dr. Petros Pechlivanoglou and Dr. Martin Offringa 


2. And Manuel has an advert for a very interesting short course on Missing Data in health economic evaluations (I will do my bit on Bayesian methods to do this, which is also very much related to the talk I'll give at the RSS conference in Glasgow, later in September $-$ this is part of Andrea's PhD work). I'll post more on this later.
Two-day short course: Methods for addressing missing data in health economic evaluation

Dates: 21-22 September, 2017

Venue: University College London

Overview
Missing data are ubiquitous in health economic evaluation. The major concern that arises with missing data is that individuals with missing information tend to be systematically different from those with complete data. As a result, cost-effectiveness inferences based on complete cases are often misleading. These concerns face health economic evaluation based on a single study, and studies that synthesise data from several sources in decision models. While accessible, appropriate methods for addressing the missing data are available in most software packages, their uptake in health economic evaluation has been limited.

Taught by leading experts in missing data methodology, this course offers an in-depth description of both introductory and advanced methods for addressing missing data in economic evaluation. These will include multiple imputation, hierarchical approaches, sensitivity analysis using pattern mixture models and Bayesian methods. The course will introduce the statistical concepts and underlying assumptions of each method, and provide extensive guidance on the application of the methods in practice. Participants will engage in practical sessions illustrating how to implement each technique with user-friendly software (Stata).

At the end of the course, the participants should be able to develop an entire strategy to address missing data in health economic studies, from describing the problem, to choosing an appropriate statistical approach, to conducting sensitivity analysis to standard missing data assumptions, to interpreting the cost-effectiveness results in light of those assumptions.

Who should apply?
The course is aimed at health economists, statisticians, policy advisors or other analysts with an interest in health economic evaluation, who would like to expand their toolbox. It is anticipated that participants will be interested in undertaking or interpreting cost-effectiveness analyses that use patient-level data, either from clinical trials or observational data.

Course fees: £600 (Commercial/Industry); £450 (Public sector); £200 (Students); payable by the 8th September 2017.

To register for the course or for further information, please see here
 

Monday, 14 August 2017

When simple becomes complicated...

A while ago, Anna and I published an editorial in Global & Regional Health Technology Assessment. In the paper, we discuss one of my favourite topics $-$ how models for health technology assessment and cost-effectiveness analysis should increasingly move away from using spreadsheet (basically, Excel) and towards proper statistical software.

The main arguments that historically have been used to support spreadsheet-based modelling are those of "simplicity and transparency" $-$ which really grinds my gears. In the paper we also argue that, may be, as statisticians we should invest in efforts towards designing our models using user-interfaces, or GUIs $-$ the obvious example is web-apps. This would expand and extend work done, eg in SAVI, or BCEAweb or bmetaweb, just to name a few (that I'm more familiar with...). 

Friday, 28 July 2017

Picky people (2)

I've complained here about the fonts for some parts of the computer code in our book . Eva (our publisher) has picked up on this and has been brilliant and very quick in trying to fix the issue. I think they will update the fonts so that at least on the ebooks version all will look nice!

Friday, 7 July 2017

Conflict of interest

I am fully aware that this post is seriously affected by a conflict of interest, because what I'm about to discuss (in positive terms!) is work by Anthony, who's doing a very good job on his PhD (which I co-supervise).

But, I thought I'd do like our former PM (BTW: see this; I really liked the series) and sort conflict of interests by effectively ignoring them (to be fair, this seems to be a popular strategy, so let's not be too harsh on Silvio...).


Anyway, Anthony has written an editorial, which has received some traction in the mainstream media (for example here, here or here). Not much that I disagree with in Anthony's piece, except that I am really sceptical of any bake & eat situation $-$ the only exception is when I actually make pizza from scratch...