Jager and Leek 2014

Tags:PubMedrandom sampleHover over the tag text for details.
Domainbiomedicine
Data5.3k articles from 5 medical journals
Note

To download only this data file: JagerLeek.rds (331 KB)

To download all BEAR datasets, click here.

Description

Reference: Jager and Leek (2014).

Research question: estimating science-wise false discovery rate.

Data collection: The authors used a custom program to extract p-values from scraped PubMed abstracts for papers published in five leading medical journals between 2000 and 2010. The dataset contains 15,653 p-values from 5,322 articles.

Data availability: The data file pvalueData.rda is available from https://github.com/jtleek/swfdr. The programs in that repository are licensed under the GNU GPL, although, as far as we are aware, no licence is stated for the dataset.

Data processing: There was only minimal processing. We derived unsigned z-values from p-values assuming they were two-sided.

Notably, a large proportion of p-values are truncated, almost always at 0.0001, 0.001, 0.01, or 0.05. We keep the truncation information and treat p-values recorded as exactly 0 as truncated (z-operator >). We created a crude flag for RCTs by searching the paper titles for “randomized”, “randomised” and “controlled”.

Study characteristics:

  • Study ID: we use the PubMed identifier (pubmedID). Additionally, article DOIs were obtained from Europe PMC.
  • Study design is not avaialble, but 30% of rows are flagged as RCTs based on scanning publication titles.
  • The extracted p-values are converted to z-values.
  • We do not know the underlying effect measures.

Model of z-values

Characteristic Estimate
Probability of significance 45%
Relative probability of publication for |z| < 1.96 0.18
Successful replication for |z| > 1.96 72%
Correct sign for |z| > 1.96 99%
What do these terms mean?
Probability of significance
The reported value is the assurance: the proportion of significant results adjusted for publication bias.
Relative probability of publication
The relative probability of observing a result below the |z| = 1.96 threshold rather than above it. Values below one indicate lower observation probability below the conventional two-sided significance threshold.
Successful replication
The probability that an exact replication has the same sign and a |z| greater than 1.96, conditional on the original result having |z| greater than 1.96.
Correct sign
The probability that the observed effect has the same direction as the true effect, conditional on an original result with |z| greater than 1.96.

Jager and Leek: biomedicine mixture model plot

References

Jager, Leah R, and Jeffrey T Leek. 2014. “An Estimate of the Science-Wise False Discovery Rate and Application to the Top Medical Literature.” Biostatistics 15 (1): 1–12.