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BMC Medical Research Methodology is a peer-reviewed journal published by BMC (BioMed Central), covering Meta-analysis and systematic reviews, Advanced Causal Inference Techniques, Statistical Methods and Bayesian Inference. Over its lifetime it has published 4,139 papers, which have received 318,529 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. BMC Medical Research Methodology. 2023;12(3):45–58.
Formats any DOI in BMC Medical Research Methodology style. No sign-up. |
| Publishes research in | Meta-analysis and systematic reviews Advanced Causal Inference Techniques Statistical Methods and Bayesian Inference Statistical Methods in Clinical Trials Health Policy Implementation Science |
| ISSN | 1471-2288 |
| Citation impact (2-yr) | 4.8 |
| h-index | 222 |
| i10-index | 2,507 |
| Article processing charge | $2,195 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Inserm |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
BACKGROUND: In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one…
BACKGROUND: The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. DISCUSSION: The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research…
BACKGROUND: Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. METHODS: In this article we use simple and elementary…
BACKGROUND: Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies. Also, controlling for confounding is not equivalent for the two measures. In this paper we explore alternatives for modeling data of such…
BACKGROUND: Systematic Reviews (SRs) of experimental animal studies are not yet common practice, but awareness of the merits of conducting such SRs is steadily increasing. As animal intervention studies differ from randomized clinical trials (RCT) in many aspects, the methodology for SRs of clinical trials needs to be adapted and optimized for animal intervention studies.…
