Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00585138" target="_blank" >RIV/67985807:_____/24:00585138 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/jrsm.1703" target="_blank" >https://doi.org/10.1002/jrsm.1703</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jrsm.1703" target="_blank" >10.1002/jrsm.1703</a>
Alternative languages
Result language
angličtina
Original language name
Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics
Original language description
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that meta-analyses in economics are the most severely contaminated by publication selection bias, closely followed by meta-analyses in environmental sciences and psychology, whereas meta-analyses in medicine are contaminated the least. After adjusting for publication selection bias, the median probability of the presence of an effect decreased from 99.9% to 29.7% in economics, from 98.9% to 55.7% in psychology, from 99.8% to 70.7% in environmental sciences, and from 38.0% to 29.7% in medicine. The median absolute effect sizes (in terms of standardized mean differences) decreased from d = 0.20 to d = 0.07 in economics, from d = 0.37 to d = 0.26 in psychology, from d = 0.62 to d = 0.43 in environmental sciences, and from d = 0.24 to d = 0.13 in medicine.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Research Synthesis Methods
ISSN
1759-2879
e-ISSN
1759-2887
Volume of the periodical
15
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
500-511
UT code for WoS article
001157617000001
EID of the result in the Scopus database
2-s2.0-85184450854