| Literature DB >> 21332987 |
Lehana Thabane1, George Wells, Richard Cook, Robert Platt, Janice Pogue, Eleanor Pullenayegum, David Matthews, Tara McCready, Philip J Devereaux, John A Cairns, Salim Yusuf.
Abstract
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.Entities:
Mesh:
Year: 2011 PMID: 21332987 PMCID: PMC3049182 DOI: 10.1186/1745-6215-12-48
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Figure 1Key Members of the CANNeCTIN Biostatistics and Methodological Innovation Group by Centre.
Coverage of topics and issues at monthly videoconferences for 2008-2010
| Topic | Issues covered* |
|---|---|
| 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. | |
| Non-inferiority designs | • What's wrong with non-inferiority designs? |
| Pragmatic Trials | • A pragmatic-explanatory continuum summary (PRECIS) [ |
| Meta-analysis issues | • Empirical priors for between-study heterogeneity in meta-analysis; |
| • Precision in meta-analysis; | |
| • Indirect comparisons for evaluating healthcare interventions [ | |
| Other issues | • 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. | |
* Pdf Slides and audio versions of the presentations are available at http://www.cannectin.ca/default.cfm?id=25
Current List of CANNeCTIN Biostatistics Trainees
| Institution | Trainee | Project | Supervisor |
|---|---|---|---|
| McMaster University | Kristian Thorlund | Methodological improvements in meta-analysis | Drs. Lehana Thabane and PJ Devereaux |
| Jinhui Ma | Issues in the Statistical Analysis and Imputation Strategies for Binary outcome from Cluster Randomized Trials in Management of Cardiovascular Risk Factors | Dr. Lehana Thabane | |
| Rachel Chu | Intraclass correlation in multicentre RCTs and prognostic heterogeneity/imbalance | Dr. Lehana Thabane | |
| Hoi Suen | Generalised Additive Models for the analysis of health utility data | Dr Eleanor Pullenayegum | |
| University of Waterloo | Haocheng Li | Design of Clinical Trial and Statistical Analysis with Missing Data | Dr. Grace Yi |
| Longyang Wu | Design of Clinical Trials with Recurrent Events and Competing Risks | Dr. Richard Cook | |
| Audrey Boruvka | Event history analysis with incomplete data | Dr. Richard Cook | |
| Min Chen | 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 |
| McGill University | Maria Esther Perez Trejo | The problem of extra variation induced by double clustering | Dr. Robert Platt |
| Michael Regier | Develop causal methods appropriate for repeatedly measured data | Dr. Robert Platt | |
| Menglan Pan | Marginal Structural Models, Odds Ratios, and Collapsibility | Drs. Robert Platt and Jay Kaufman | |