- Timothy Beebe, Mayo Clinic College of Medicine
- Phil Edwards, London School of Hygiene & Tropical Medicine
- Chiu-Hsieh (Paul) Hsu, University of Arizona
- Vivian Welch, University of Ottawa
- Giulia Mangiameli, BioMed Central
A method to link existing health-related data preserving privacy expands the possibilities for data reuse to answer new research questions.
A simple and flexible method using Poisson regression with random intervention effects for the meta-analysis of incidence rate data when there are zero counts in the data.
Publication bias regarding the effects of statins in animals is unexpectedly higher in studies non sponsored by industry and may be due to a failure in publishing negative results.
BMC Medical Research Methodology 2015, 15:68
BMC Medical Research Methodology is an open access, peer-reviewed journal that considers articles on methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.
BMC Medical Research Methodology is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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