- Open Access
- Open Peer Review
Canadian-led capacity-building in biostatistics and methodology in cardiovascular and diabetes trials: the CANNeCTIN Biostatistics and Methodological Innovation Working Group
- Lehana Thabane1, 2, 3, 4Email author,
- George Wells5,
- Richard Cook6,
- Robert Platt7,
- Janice Pogue4,
- Eleanor Pullenayegum1, 2, 3,
- David Matthews6,
- Tara McCready4,
- Philip J Devereaux1, 4,
- John A Cairns8,
- Salim Yusuf1, 4, 9 and
- the CANadian Network and Centre for Trials Internationally (CANNeCTIN) Investigators
© Thabane et al; licensee BioMed Central Ltd. 2011
- Received: 14 November 2010
- Accepted: 18 February 2011
- Published: 18 February 2011
The Biostatistics and Methodological Innovation Working (BMIW) Group is one of several working groups within the CANadian Network and Centre for Trials INternationally (CANNeCTIN). This programme received funding from the Canadian Institutes of Health Research and the Canada Foundation for Innovation beginning in 2008, to enhance the infrastructure and build capacity for large Canadian-led clinical trials in cardiovascular diseases (CVD) and diabetes mellitus (DM). The overall aims of the BMIW Group's programme within CANNeCTIN, are to advance biostatistical and methodological research, and to build biostatistical capacity in CVD and DM. Our program of research and training includes: monthly videoconferences on topical biostatistical and methodological issues in CVD/DM clinical studies; providing presentations on methods issues at the annual CANNeCTIN meetings; collaborating with clinician investigators on their studies; training young statisticians in biostatistics and methods in CVD/DM trials and organizing annual symposiums on topical methodological issues. We are focused on the development of new biostatistical methods and the recruitment and training of highly qualified personnel - who will become leaders in the design and analysis of CVD/DM trials. The ultimate goal is to enhance global health by contributing to efforts to reduce the burden of CVD and DM.
- Academic Health Science Centre
- Ottawa Heart Institute
- Adaptive Trial Design
- Biostatistical Method
- Hamilton General Hospital
Jointly funded beginning in 2008 by the Canadian Institutes of Health Research (CIHR) and the Canada Foundation for Innovation (CFI), the CANadian Network and Centre for Trials INternationally (CANNeCTIN) was among five successful applications under the CIHR-CFI strategic initiative to support clinical research programs, teams and network infra-structure that focused on high-impact, clinically relevant problems . CIHR is the Canadian equivalent of the US National Institutes of Health. It was established by the Canadian federal government in 2000, as the successor to the Medical Research Council and currently supports more than 13,000 health researchers and trainees in universities, teaching hospitals and other health organizations and research centres across the country. CFI is an independent corporation created in 1997 by the Government of Canada to fund research infrastructure. The CFI's mandate is to strengthen the capacity of Canadian universities, colleges, research hospitals, and non-profit research institutions to carry out world-class research and technology development that benefits Canadians.
The focus for CANNeCTIN is to enhance the infrastructure and to build capacity for clinical trials in cardiovascular diseases (CVD) and diabetes mellitus (DM), especially those with a focus on neglected conditions, outcomes and interventions. There is an explicit goal to build capacity by developing young trialists who could emerge to be the leaders of large trials and expanding biostatistical expertise as it relates to clinical trials. Led by Salim Yusuf (Hamilton Health Sciences and McMaster University) and John Cairns (University of British Columbia), and coordinated by the Population Health Research Institute (PHRI) (Hamilton, Ontario), CANNECTIN has engaged more than 100 researchers from 19 universities including all of Canada's 17 medical schools. This network is linked to an international network of over 1500 affiliated hospitals and clinics from 80 countries  and is committed to developing links with investigators in developing countries (e.g. South Africa, other African countries, South American countries and India). PHRI was launched as a joint Hamilton Health Sciences and McMaster University research institute in 1999. It is located in the David Braley Cardiac, Vascular and Stroke Research Institute (DBCVSRI) at Hamilton General Hospital. The PHRI provides an education, training, and mentorship environment for learners working on cutting-edge projects with world class scientists, with a vision of world class research for new discoveries solving global health challenges. PHRI's research interests span all frontiers of the globe and include a broad spectrum of health-related issues. Originally a cardiovascular disease research institute, PHRI's programs have expanded to include a broad specrum of medical and societal conditions in varied populations defined by ethnicity or geographic region.
The organizational structure of CANNeCTIN includes Working Groups which are disease/discipline-based (e.g. interventional cardiology, perioperative medicine, cardiac surgery) and technological/programmatic in type (e.g., biostatistics and methodological innovation, pharmacogenomics, developing countries, education, knowledge translation (KT)) collaborative national and international networks and a coordination centre based within the PHRI . A detailed description of the programme, organization, functions and goals is available at http://www.cannectin.ca.
At the planning stage of the CANNeCTIN program, it was recognized that biostatisticians play a critical role in designing health studies (by helping to formulate research questions and to determine appropriate research designs, data collection procedures and analytic strategies) and in conducting analyses of data from studies to answer scientific questions. The universal shortage of biostatisticians has been documented in many countries including the United States  and Australia . In their "Strategy for patient-oriented research" released in February 2010, CIHR acknowledged that in Canada "...the clinical research workforce has not grown since CIHR's creation in 2000, with obvious shortages of biostatisticians, health economists, clinical epidemiologists, social scientists, ..." and further noted that "...most academic health science centres conducting clinical research report a critical shortage of biostatisticians and methodologists" (http://www.cihr-irsc.gc.ca) [emphasis is ours]. Canada needs to train and support the careers of biostatisticians and research methodologists to enhance its capacity to conduct patient-oriented research with the potential to improve health and enhance the sustainability of the Canadian healthcare system. A fundamental goal of CANNeCTIN is to improve this situation.
The objectives of this paper are: 1) to describe the innovative research and training activities of the Biostatistics and Methodological Innovation Working (BMIW) Group in building capacity in biostatistics and clinical trial methods; 2) to disseminate the activities of the BMIW Group to other interested researchers; and 3) to encourage interested biostatisticians and methodologically oriented clinical researchers to join the BMIW Group.
As one of the CANNeCTIN Working Groups, the BMIW Group was created to bring clinical researchers and biostatisticians together from multiple universities across Canada to: a) identify and address complex biostatistical and methodological problems relevant to clinical trials and epidemiologic studies; b) advise clinical trialists regarding these issues; and c) build capacity through practical and interactive training of future biostatisticians and clinician-methodologists in CVD/DM trials.
Innovations in biostatistical methods have already played a major role in health research; however, clinical researchers face increasingly challenging problems requiring further innovation. Unresolved biostatistical challenges include: a) optimal ways to analyze pharmacogenomic data; b) developing new statistical methods in the design and analysis of CVD/DM trials; c) addressing complexities in non-inferiority and adaptive trial designs. Using simulations and existing datasets from large completed studies (see PHRI website for a complete listing of completed and on-going multi-centre studies: http://www.phri.ca/body.cfm?id=22), the BMIW Group is able to empirically test their hypotheses on many of the above biostatistical and methodological issues.
Our innovative program of research and training activities includes: monthly videoconferences on topical biostatistical and methodological issues in CVD/MD clinical studies; providing presentations on methodological issues at the annual CANNeCTIN meetings; recruiting and training young statisticians in biostatistics and methods in CVD/DM trials and organizing annual symposiums on topical methodological issues. These activities were deliberately chosen to share knowledge, provoke interactive discussion, stimulate research ideas, encourage research collaboration and cultivate academic cross-fertilization among biostatisticians, clinicians and trainees.
Coverage of topics and issues at monthly videoconferences for 2008-2010
Issues in RCTs
• Biases resulting from patient withdrawal in RCTs and how to address them;
• Design and analysis issues in knowledge translation trials in primary care;
• Testing for blinding at the end of an RCT ;
• Prognostic imbalance in RCTs;
• Dynamic allocation methods: why the controversy?
• Statistical issues in the use of composite outcomes clinical trials.
Issues in cluster RCTs
• Clustered measurement in cluster randomized trials;
• Imputation strategies for missing binary outcomes in cluster randomized trials.
• What's wrong with non-inferiority designs?
• A pragmatic-explanatory continuum summary (PRECIS) ;
• Empirical priors for between-study heterogeneity in meta-analysis;
• Precision in meta-analysis;
• Indirect comparisons for evaluating healthcare interventions .
• Bias in logistic regression due to omitted covariates;
• Statistical genetics and coronary artery disease;
• Longitudinal modeling when the response and time-dependent covariates are measured at distinct time-points.
To facilitate cross-fertilization between statisticians and clinicians, the BIMW Group regularly engages in interactive discussions with clinicians on methodological issues that arise in CANNeCTIN studies. Clinical investigators are invited to present to their studies to the group at our monthly biostatistics videoconferences and receive input from the group. The group members also give presentations at the annual CANNeCTIN meeting. At the CANNeCTIN Junior investigator meeting held in Winter 2010, the members of the group delivered the following presentations:
How CANNeCTIN investigators can collaborate with statisticians at PHRI;
What you need to know about pilot studies: the what, how and why ;
Some issues in the design and analysis of RCTs - covering issues in cluster randomization trials and time-to-event outcomes; and
Common errors in CIHR RCT grants.
These presentations are available at http://www.cannectin.ca/default.cfm?id=116. We plan to continue to foster these interactions in future meetings and to expand the coverage to include more topics. The BMIW Group also participated in the Cutting Edge Symposiums on Pharmacogenomics that took place in May 2009 and Perioperative Medicine held in April 2010, in Hamilton (Ontario, Canada) (http://www.cannectin.ca/body.cfm?id=68). In these symposiums, we collaborate closely with our clinician investigators to discuss the biostatistical and methodological issues arising from different studies. For example, one of the trials - PADIT (Prevention of Arrhythmia Device Trial) [ClinicalTrials.gov identifier #: NCT01002911] involved both the use of both a cross-over design and cluster-randomization. The trial uses "site" as a unit of randomization. The primary objective is to compare conventional pre-operative antibiotics versus conventional intra-operative plus post-operative antibiotics in preventing hospitalization attributed to device infection in patients undergoing cardiac surgery. This raised interesting discussions among biostatisticians and clinicians about the design and analysis of the trial.
The group also takes part in the annual Trout-CANNeCTIN workshop - an intensive, interactive training program led by Dr David Sackett, which guides young researchers in the design, implementation, and analysis of high-quality clinical studies, as well as in effective grant writing and academic career development. Our role includes providing biostatistical feedback and support to the trainees.
One of our goals is to build capacity in biostatistics within Canada through advanced and practical training of graduate and postgraduate students. This occurs in an interdisciplinary environment, with clinicians and biostatisticians working together on applied problems. As noted earlier, the worldwide need for experienced biostatisticians in many countries is high in all areas of health research [2, 3] and Canada is no exception. Our program is to recruit and train biostatisticians within Canada with the necessary practical experience and skills to work with clinical investigators. The specific objectives of this training and mentorship programme are to promote enthusiasm and commitment to excellence in statistical collaboration in CVD and DM clinical research; to enhance communication of statistical issues to clinician collaborators; to train young statisticians to acquire biostatistical self-sufficiency and develop skills in applied statistics in CVD and DM trials; and to enhance a culture of collaboration among statisticians and clinician researchers. We introduce our trainees to the rewards and challenges of health care research, through practical training obtained by working on real problems that are encountered in ongoing trials. We provide partial funding for all CANNeCTIN biostatistics trainees, who have a primary supervisor at their "home" institution. All supervisors have to be active members of the BMIW Group. The student submits a proposal and receives input from all the members of the group (collective mentoring). By providing hands-on experience in large clinical studies, our training approach complements training programs already existing in many universities and builds biostatistical capacity specific to CVD and DM trials in Canada.
Current List of CANNeCTIN Biostatistics Trainees
Methodological improvements in meta-analysis
Drs. Lehana Thabane and PJ Devereaux
Issues in the Statistical Analysis and Imputation Strategies for Binary outcome from Cluster Randomized Trials in Management of Cardiovascular Risk Factors
Dr. Lehana Thabane
Intraclass correlation in multicentre RCTs and prognostic heterogeneity/imbalance
Dr. Lehana Thabane
Generalised Additive Models for the analysis of health utility data
Dr Eleanor Pullenayegum
University of Waterloo
Design of Clinical Trial and Statistical Analysis with Missing Data
Dr. Grace Yi
Design of Clinical Trials with Recurrent Events and Competing Risks
Dr. Richard Cook
Event history analysis with incomplete data
Dr. Richard Cook
Empirical Likelihood Methods for Pretest-Posttest Studies
Drs Mary Thompson and Changbao Wu
University of Ottawa
Robert William Davies
Statistical Issues Which Pertain to the use of GWAS for the Identification, Characterization and Quantification of Genetic Effects in Cardiovascular Disease
Dr. George Wells
Maria Esther Perez Trejo
The problem of extra variation induced by double clustering
Dr. Robert Platt
Develop causal methods appropriate for repeatedly measured data
Dr. Robert Platt
Marginal Structural Models, Odds Ratios, and Collapsibility
Drs. Robert Platt and Jay Kaufman
Other Activities: Special Invited Sessions at Scientific Meetings and the Annual Biostatistics and Methods Symposium
The BMIW Group has organized some special sessions sponsored by CANNeCTIN at various biostatistical meetings including the Canadian Society for Epidemiology and Biostatistics annual meeting held in Ottawa (Ontario, Canada) in, 2009; and the Statistical Society of Canada annual meeting held in Vancouver (British Columbia, Canada) in 2009. We are currently organizing another invited sessions at the annual meetings of the Statistical Society of Canada (SSC) in Wolfville (Nova Scotia, Canada) in June 2011 and International Society for Clinical Biostatistics (ISCB) in Ottawa (Ontario, Canada) in August 2011. These activities have provided good forums for the group to share their research with national and international statistical communities
The BMIW group plans to organize annual symposiums on challenging and relevant topics in biostatistics in RCTs or observational studies that will involve other experts from Canada and abroad, and be suitable for publication in peer-reviewed journals. Each symposium will focus on answering four key questions: 1) what is the state-of-the-art? ii) what are the outstanding or controversial issues that remain unresolved or need to be addressed? iii) what guidance can we provide to researchers on these issues based on the current knowledge?; and iv) what research needs to be done to fully address the issues?
Topical biostatistical and methodological issues that have been identified so far include composite outcomes, stopping rules, surrogate outcomes, non-inferiority designs, non-compliance, adjustment for baseline imbalance in RCTs, adaptive designs, and large vs. small trials. The first CANNeCTIN Cutting Edge Symposium on Advanced Biostatistics and Methodological Issues in Clinical Trials is planned for Hamilton, Canada for April 28-29, 2011, will focus on outcomes in CVD trials - covering both composite and surrogate outcomes, and adaptive designs. More details on the symposium can be found at http://www.cannectin.ca/default.cfm?id=128.
Effective use of information technology (IT) to link different centres through videoconferences has been key to the success of our monthly seminars. Occasionally, we encounter some technical problems in connecting sites, but these problems are always resolved without much difficulty and with some patience. To date, no seminars have been cancelled because of IT challenges.
Mentoring the next generation of biostatisticians in cardiovascular trials has been a worthwhile journey so far. Collectively, we have 11 trainees from four Canadian universities, supervised or mentored by seven BMIW Group biostatisticians. We hope that this effort will continue to expand the training opportunities to more national and international centres.
Interacting and collaborating with clinicians in addressing CVD/DM problems has been a rewarding experience for many of us. The CANNeCTIN programme provides an excellent opportunity to promote academic dialogue among biostatisticians and clinicians (including our trainees). By sharing knowledge, provoking interactive discussion, stimulating research ideas, encouraging collaboration and fostering academic cross-fertilization, we can make our biostatistical research more relevant and applicable to important problems in CVD and DM research.
There is a severe shortage of biostatistical expertise in CVD/DM research. Our efforts to reduce the global burden of these diseases depend on the conduct of large well-designed trials to advance our understanding of the key predictors of the disease and the best strategies for prevention, treatment and management. The BMIW Group is making substantial contributions towards the realization of CANNeCTIN's vision to advance global health through building the capacity of the Canadian research community to lead major CVD and DM clinical trials. The long-term contributions of the BMIW Group will include the development of new biostatistical methods and recruitment and training of highly qualified personnel. These personnel will become leaders in collaborative health research through contributions to the design and analysis of CVD/DM trials, and also serve as committee members and reviewers for granting agencies such as CIHR that support clinical research in Canada. We believe that with suitable investments, this is a model that can be useful for building human capacity in other areas of clinical research experiencing similar shortage of biostatistical expertise.
Dr Thabane is a clinical trials mentor the Canadian Institutes of Health Research. Dr. Cook is Canada Research Chair in Statistical Methods for Health Research and is supported by CIHR and NSERC (Natural Sciences and Engineering Research Council). Dr. Platt is a Senior Chercheur-boursier of the Fonds de la Recherche en Santé du Québec.
CANNeCTIN Lead Investigators: Salim Yusuf (McMaster University, Hamilton, Ontario), John Cairns (University of British Columbia, Vancouver, British Columbia), Sonia Anand (McMaster University), Todd Anderson (University of Calgary, Calgary, Alberta), Malcolm Arnold (University of Western Ontario, London Ontario), Stuart Connolly (McMaster University), Jafna Cox (Dalhousie University, Halifax, Nova Scotia), Gilles Dagenais (Laval University, Quebec City, Quebec), PJ Devereaux (McMaster University), Paul Dorian (University of Toronto, Toronto, Ontario), Vlad Dzavik (University of Toronto), Stephen Fremes (University of Toronto), Hertzel Gerstein (McMaster University), Scott Lear (Simon Fraser University, Vancouver, British Columbia), Finlay McAlister (University of Alberta, Edmonton, Alberta), Michel Nguyen (Universite de Sherbrooke, Sherbrooke, Quebec), Richard Novick (University of Western Ontario, London, Ontario), Robert Roberts (University of Ottawa, Ottawa, Ontario), Thomas Schricker (McGill University, Montreal, Quebec), Ashfaq Shuaib (University of Alberta), Chris Simpson (Queen's University, Kingston, Ontario), Samuel Siu (University of Western Ontario), Bruce Sussex (Memorial University of Newfoundland, St John's, Newfoundland and Labrador), James Tam (University of Manitoba, Winnipeg, Manitoba), Koon Teo (McMaster University), Lehana Thabane (McMaster University), Pierre Theroux (Universite de Montreal, Montreal, Quebec), Jack Tu (University of Toronto), Richard Cook (University of Waterloo, Waterloo, Ontario), George Wells (University of Ottawa), Bernie Zinman (University of Toronto), Kelly Coverett (University of Sasketchewan, Saskatoon, Sasketchewan)
Sources of Funding: CIHR and CFI
- Cairns JA, Yusuf S, Cook RJ, for CANNeCTIN: Canadian Network and Centre for Trials Internationally (CANNeCTIN): a national network for Canadian-led trials in cardiovascular diseases and diabetes mellitus. Canadian Journal of Cardiology. 2010, 26 (7): 353-8.View ArticlePubMedPubMed CentralGoogle Scholar
- DeMets DL, Stormo G, Boehnke M: Training of the next generation of biostatisticians: a call to action in the U.S. Statistics in Medicine. 2006, 25: 3415-3429. 10.1002/sim.2668.View ArticlePubMedGoogle Scholar
- Simpson JM, Ryan P, Carlin JB: Training a new generation of biostatisticians: A successful consortium model. Journal of Statistics Education. 2009, 17 (2): Last date of access: 2010-11-12, http://www.amstat.org/publications/jse/v17n2/simpson.html Google Scholar
- Thabane L, Ma J, Chu R, Cheng J: A Tutorial on Pilot Studies: The What, Why and How. BMC Medical Research Methodology. 2010, 10: 1-10.1186/1471-2288-10-1.View ArticlePubMedPubMed CentralGoogle Scholar
- Sackett DL: Commentary: Measuring the success of blinding in RCTs: don't, must, can't or needn't?. International Journal of Epidemiology. 2007, 36 (3): 664-5. 10.1093/ije/dym088.View ArticlePubMedGoogle Scholar
- Thorpe KE, Zwarenstein M, Oxman AD: A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. Canadian Medical Association Journal. 2009, 180 (10): E47-57. 10.1503/cmaj.090523.View ArticlePubMedPubMed CentralGoogle Scholar
- Wells GA, Sultan SA, Chen L: Indirect Evidence: Indirect Treatment Comparisons in Meta-Analysis. 2009, Ottawa: Canadian Agency for Drugs and Technologies in Health, Last date of access: 2010-11-04, http://www.cadth.ca/media/pdf/H0462_itc_tr_e.pdf Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.