Help Login Create account

Data released on November 28, 2017

Supporting data for "The intriguing evolution of effect sizes in biomedical research over time: smaller but more often statistically significant"

Monsarrat, P; Vergnes, J (2017): Supporting data for "The intriguing evolution of effect sizes in biomedical research over time: smaller but more often statistically significant" GigaScience Database. http://dx.doi.org/10.5524/100385 RIS BibTeX Text

In medicine, effect sizes (ESs) allow the effects of independent variables (including risk/protective factors, or treatment interventions) on dependent variables (e.g. health outcomes) to be quantified. Given that many public health decisions and health care policies are based on ES estimates, it is important to assess how ESs are used in the biomedical literature and to investigate potential trends in their reporting over time.
This dataset therefore contains the comprehensive database of detected ESs in Pubmed, the database of detected ESs in PubMed Central, and the source code of the program that helped to generate these databases through data-mining algorithms.

Contact Submitter

Additional information:

https://github.com/gigascience/paper-monsarrat2017

Keywords:

meta-research effect size biomedical research publish or perish data mining 

Software, Metadata

/images/uploads/image_upload/Images_488.png

Funding:

  • Funding body - Agence Nationale de la Recherche
  • Award ID - ANR-16-CE18-0019-01
  • Awardee - P Monsarrat

Files: (FTP site) Table Settings

Columns:

File Description
Sample ID
File Type
File Format
Size
Release Date
Download Link
File Attributes

File NameSample IDFile TypeFile FormatSizeRelease Date 
SoftwareTAR330.43 KB2017-11-21
ReadmeTEXT1.04 KB2017-11-21
Tabular dataTSV33.75 MB2017-11-24
Tabular DataUNKNOWN142.53 MB2017-11-21
Displaying 1-4 of 4 File(s).

History:

+

Other datasets you might like: