Free Access
| Issue |
J Extra Corpor Technol
Volume 50, Number 4, December 2018
|
|
|---|---|---|
| Page(s) | 215 - 216 | |
| DOI | https://doi.org/10.1051/ject/201850215 | |
| Published online | 15 December 2018 | |
- Kaplan RM, Chambers DA, Glasgow RE Big data and large sample size: A cautionary note on the potential for bias. Clin Trans Sci. 2014;7:342–6. [CrossRef] [Google Scholar]
- Khoury MJ, Ioannidis JPA Big data meets public health: Human well-being could benefit from large scale data if large-scale noise is minimized. Science. 2014;346:1054–5. [CrossRef] [PubMed] [Google Scholar]
- Young SS, Karr A Deming, data and observational studies. Significance. 2011;8:116–20. [CrossRef] [Google Scholar]
- Likosky DS, Baker RA, Newland RF, et al. Is conventional bypass for coronary artery bypass graft surgery a misnomer? J Extra Corpor Technol. 2018;50:225–30. [PubMed] [Google Scholar]
- von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. PLoS Med. 2007;4:e296. [CrossRef] [PubMed] [Google Scholar]
- Nicholls SG, Langan SM, Sorensen HT, et al. The RECORD reporting guidelines: Meeting the methodological and ethical demands of transparency in research using routinely-collected health data. Clin Epidemiol. 2016;8:389–92. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.