This resource highlights upcoming workshops, events and conferences run by the HTMR Network and our colleagues in clinical trials. For more training courses, including short courses, Masters degrees, and training resources from our colleagues visit our training pages.
A free one day training event for newly funded Chief Investigators on randomised clinical trials.The workshop will include panel discussions, presentations from chief investigators, clinical trial units, trial funders and trial methodologists. The workshop is targeted to recently funded Chief Investigators on RCTs. 2019 Programme available soon.
Introduction to Randomised Controlled TrialsAim:To provide an understanding of the essentials of designing, conducting and analysing randomised controlled trials (RCTs). The course examines RCTs evaluating health and public health interventions in primary, secondary and community settings with individual and cluster randomised designs. It is designed for health care researchers, trial managers and coordinators, clinicians, public health researchers and specialists looking to understand RCTs and covers the following topics. • Trial design •Randomisation •Sample size •Feasibility and pilot studies •Trial planning, resourcing and working with the NHS •Process evaluation for patient experience •Patient and Public Involvement •Optimising trial recruitment •Trial conduct •Protocol adherence and missing data •Cluster and public health trials, including in schools •Outcome assessment and Patient Reported Outcome Measures •Health economics •Primary and secondary trial analyses •Experience of being a Chief Investigator •Clinical Trials Unit support for trialists
Location: UCL Institute of Health Informatics, 222 Euston Road, London NW1 2DA
Week 1: Using Patient Data in Research, 10-14 June 2019
Week 2: Practical Skills for Records Research, 17-21 June 2019
Week 3: New Approaches for Records Research, 24-28 June 2019
A unique programme of inter-related one- and two-day courses in the rapidly developing field of electronic health records research, spanning a wide range of applications in basic and applied health research.
The courses are entirely modular to allow individuals to select those most relevant to their research and learning needs.
Bookings for our 2019 courses are now open via the UCL Online Store with discounted early-bird rates available.
These courses address the ‘why?’, the ‘what?’ and the ‘how?’ of EHR research and critically evaluate scientific opportunities and challenges, in what is being proposed as a new paradigm in medical research.
The courses are intended for people from a wide range of backgrounds - including health care, epidemiology, biostatistics, health informatics, NHS IT, bioinformatics, genomics and computer science - and at different career stages, from those thinking of doing an MSc or PhD to established researchers.
2 Day course: Designing and Running Streamlined Randomized Trials
Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health University of Oxford
Dates under review
Jesus College, Ship Street Centre, Ship Street, Oxford. OX1 3DW
THINK BIG. KEEP IT SIMPLE. GET RELIABLE ANSWERS On this course, you will learn how to design and run streamlined, efficient trials to provide reliable answers which change practice.
The program will address;
• streamlining key aspects of study design, • practicalities of running trials, • efficient fulfilment of regulatory requirements, • appropriate data analysis and reporting.
This course is aimed at current or potential trial investigators and senior trial managers. We anticipate obtaining 15 CPD points.
The course is run by highly experienced clinical trialists, senior trial managers and statisticians who have run successful large trials including the:
• Heart Protection Study: 20,000 - high vascular risk • SEARCH: 12,000 - prior vascular disease • ACST trials: 5000 - asymptomatic carotid stenosis • 3-C study: 900 - undergoing kidney transplantation • SHARP: 9500 - chronic kidney disease (18 countries) • HPS2-THRIVE: 25,000 - high vascular risk (UK, Scandinavia, China) • REVEAL: 30,000 - high vascular risk (10 countries) • ASCEND: 15,000 with diabetes (UK, mail-based)
Essentials of Clinical TrialsThis course provides attendees with a clear understanding of the fundamental principles of Randomised Clinical Trials (RCTs). Lectures and practical sessions cover the key issues to be considered in design, conduct, analysis and reporting, with a focus on major clinical trials which directly influence clinical practice. Topics are addressed with perspectives from both public sector research and the pharmaceutical industry. Who should attend? The course is relevant to all those who want to gain an understanding of the rigorous evaluation of interventions in health care, including clinical research professionals, research managers, and other scientists with an interest in clinical trials. Course fee The course fee for 2019 is £1,784.00. Fees normally cover participation in the course, course materials and refreshments each day. Fees do not cover travel costs or accommodation. Accreditation The 2018-intake of this course has been approved by the Federation of the Royal Colleges of Physicians of the United Kingdom for 30 category 1 (external) CPD credit(s) and we expect the same approval for 2019.
Location: Institute of Psychiatry, Psychology and Neuroscience, King’s College London
Course dates: 1 - 5 July 2019
The course is organized by the Department of Biostatistics and Health Informatics.
This 5 day course is aimed at PhD students and researchers engaged in applied health and social research to assess effects of interventions or risk factors.
It provides a comprehensive introduction to causal inference and evaluation, covering study designs and statistical analysis methods that enable the principled assessment of causal effects of treatments or risk factors.
Throughout the emphasis will be on introducing modern methods from the causal inference field that are readily accessible to the end-user. Their utility will be demonstrated by example analyses of real data sets drawn largely, but not exclusively from mental health research, and using the general purpose statistical software STATA.
- Causal diagrams
- Propensity scoring
- Marginal structural models
- Mendelian randomization
- Mediation analysis
- Quasi-experimental methods
The course will be of interest to statisticians, researchers from all areas of applied health research, behavioural and social sciences, mathematical and natural sciences and economics who wish to acquire and/or consolidate skills and knowledge of advanced research methods.
Workshop date: 9 July 2019 Half day short course: 8th July
This event will begin with a half-day short course on R for decision trees and Markov models and the use of the BCEA package for graphical and statistical analysis of results; this will be delivered by Gianluca Baio of UCL and Howard Thom of Bristol University.
This will be followed by a one-day workshop in which we will present a wide variety of technical aspects by experts from academia, industry, and government institutions (including NICE). Topics will include decision trees, Markov models, discrete event simulation, integration of network meta-analysis, extrapolation of survival curves, and development of R packages.
It will include a pre-workshop virtual code challenge on a problem set by our scientific committee. This will take place over Github and a Slack channel with participants encouraged to submit final R code solutions for peer review on efficiency, flexibility, elegance and transparency. Prizes will be provided for the best entry.
An optional dinner and networking event will be held on the evening of 8th July.
MRC North West Hub for Trials Methodology Research and The North West Clinical Trials Collaborative On-campus course ‘Improving health by improving trials’
This course is aimed at health and research professionals, particularly those aiming to become Chief Investigators.
Clinical trials: Professor Paula Williamson, Dr Susanna Dodd
Statistics: Professor Richard Emsley, Dr Chris Sutton, Dr Jamie Kirkham, Professor James Wason
Qualitative and recruitment research: Professor Peter Bower, Professor Bridget Young
Health economics: Professor Dyfrig Hughes
OverviewThe number of clinical trials being conducted has increased, and the need for greater efficiency in design, conduct, analysis and reporting has been recognised in both the public and industry sector.
The programme will include:
• Trial design • Trial conduct • Recruitment of trial participants • Public and patient involvement • Analysis and reporting • Health Informatics • Health economics
Course fee:£475, includes course materials, lunch and refreshments
Individual day attendance available: £95 per day
30 points awarded for full week attendance
Oxford Centre for Statistics in Medicine: Randomised Controlled Trials (RCT) Course
Introduction - Target Audience
Now in its 17th year, the Centre for Statistics in Medicine (CSM)’s Randomised Controlled Trials (RCT) Course is ideal for anyone planning or actively involved in RCTs for healthcare evaluation, particularly those early in their career or those looking for a refresher course.
The course uses a problem-based learning approach to provide a thorough grounding in the principles and practice of planning, conducting, reporting, and interpreting RCTs, mixing lectures and small-group practical work.
The interdisciplinary faculty includes three registered CTU directors, clinicians, and statisticians, all with a wealth of RCT experience.
Faculty includes CSM staff (e.g., Associate Prof Jonathan Cook and Dr Ines Rombach), wider University of Oxford staff (e.g., Prof David Beard and Prof Ed Juszczak), and those from further afield (e.g., Prof Mike Clarke of Queen’s University Belfast, Prof Richard Emsley of King’s College London, and Prof Karina Lovell of University of Manchester).
Location and Cost
RCT Course 2019 will be held 23-27 September at Merton College, University of Oxford and costs £1450 (£1300 early-bird rate before 1 May)
Registration closes on 15 August 2019 or when the course is full, whichever is sooner.
Adaptive Designs and Multiple Testing Procedures for Clinical Trials
Venue Seminar rooms, Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge CB2 0SR (adjacent to Addenbrooke’s Hospital) This course is aimed at health and research professionals, particularly those aiming to become Chief Investigators.
Dr Michael Grayling, Newcastle University
Professor Adrian Mander, Cardiff University
Dr David Robertson, MRC Biostatistics Unit
Professor James Wason, MRC Biostatistics Unit and Newcastle University
The course is aimed at statisticians, although non-statisticians with strong quantitative experience would benefit from the course also.
Knowledge of standard statistical methods for design and analysis of randomised clinical trials is assumed.
After the course, participants will be aware of a broad range of adaptive designs that are available and be able to design some of their own using available software.
Public Sector £390
Private Sector £510
A five day course from the Population Studies Group, London School of Hygiene and Tropical Medicine. Adaptive Designs and Multiple Testing Procedures for Clinical Trials
As well as being a powerful tool for statistical analysis, Stata offers a variety of commands for manipulating your data and for formatting, arranging and exporting your results.
This intensive short course is aimed at researchers and other professionals, from any discipline, who regularly use Stata for analysis but want to learn how to work more efficiently. It would be particularly suited to those who are about to embark on large analyses and who would like a quick guide on how to automate the repetitive parts of the process.
We will cover a range of topics including:
Efficient ways of working using do files commands that allow you to manipulate data and to easily create new summary variables and datasets.
Stata's commands for accessing and outputting results including putdocx to send output to Word documents and two simple commands to write text files and Stata datasets containing results.
Creating new commands (programs) for Stata.
The course has run since 2008 and has been a great success. Participants have consistently commented on the excellent teaching and feedback includes "I learnt so much in such a short time", "I would recommend this course" and "This has saved me months of work". Each year we find that many people have had the course recommended by a friend or colleague.
7th Edinburgh Clinical Research Methodology Course
A two-day course providing a comprehensive overview of the methods and frameworks currently The course will consist of interactive lectures and opportunities for delegates to network with distinguished researchers, all of whom are recognised experts in their field.
Aimed at practitioners at all levels from all disciplines (medical, allied health professionals, nursing and midwifery staff and scientists) who have an interest in or are actively engaged in clinical research.
Follow the event on twitter using #ECRMC19
John McIntyre Conference Centre, Pollock Halls, 18 Holyrood Park Road, Edinburgh EH16 5AY
EARLY BIRD REGISTRATION OPEN
6-9 October 2019
The next Royal Statistical Society Annual meeting will be held in Belfast 2019 2-5 September 2019.
The RSS International Conference has established itself as the only conference in the UK for anyone interested in statistics and data science.
Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops.
The 2019 conference will, once again, be organised by ‘streams’ allowing in-depth focus on specialised topics as well as broader presentations on new developments and thinking in statistics.
Abstract submissions for contributed talks and posters are now open with a deadline of 5 April for talks.
Registration is open with an early booking discount available until 4 June.
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