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