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Although the term publication bias has been used historically to refer to the suppression of whole studies based on (the lack of) statistical significance or "interest level," a range of mechanisms can distort the published literature.
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A dataset of presenters was created to enable prospective follow-up to assess early impressions regarding publication success with longer-term publication outcomes.
In this study, the SSRIs and suicidality controversy serves as a template to analyse the long-term publication trends regarding the benefit/risk profile of medications.
2 8 12 In this study, we analysed the long-term publication trends regarding the benefit/risk profile of medications in the context of the selective serotonin re-uptake inhibitors (SSRIs) and suicidality controversy (see box 1) from 2000 to 2010 in scientific journals and newspapers in the Netherlands (NL) and in the UK.
When the nature and direction of research results affect their chances of publication, a distortion of the evidence base – termed publication bias – results.
It accepts PubMed input formats including All Fields, Author, Journal, MeSH Terms, Publication Date, Title and Title/Abstract with Boolean operations (AND, OR and NOT).
In statistical terms publication bias would need to be interpreted by the square root of the sample size (11.9, 15.3), which is a small range.
The textbase stores the whole MEDLINE abstracts, with annotations represented by XML-like text markup for both the metadata of the articles provided by NLM (MeSH terms, publication date, etc)., and analysis results by various NLP modules.
Not reporting a study on the basis of the strength and "direction" of the trial results has been termed "publication bias". 1 An additional and potentially more serious threat to the validity of evidence based medicine is the selection for publication of a subset of the original recorded outcomes on the basis of the results, 2 which is referred to as "outcome reporting bias".
Reviews or meta-analytic techniques that summarize categorical data from primary investigations comparing highest to lowest intakes have several limitations, including a loss of data when intermediate intake categories are excluded, which may introduce reporting bias, a problem termed "publication bias in situ" [ 40].
"New City Reader" will have only 12 issues, though in the art world short-term publications are not a novelty.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com