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Publication Bias

The Problem with Science, 2021
Abstract Publication bias, defined as a “tendency for positive results to be overrepresented in the published literature,” was recognized and bemoaned as early as the 17th century by the chemist Robert Boyle. In the latter half of the 20th century, it began to be recognized as an increasingly serious scientific problem characterized by a
Mathias Harrer   +3 more
semanticscholar   +3 more sources

Measuring capital-labor substitution: The importance of method choices and publication bias

Review of economic dynamics (Print), 2021
We show that the large elasticity of substitution between capital and labor estimated in the literature on average, 0.9, can be explained by three issues: publication bias, use of cross-country variation, and omission of the first-order condition for ...
S. Gechert   +3 more
semanticscholar   +1 more source

Beyond publication bias

Journal of Clinical Epidemiology, 2011
In drug development, clinical medicine, or health policy making, basing one's decisions on a selective part of the available evidence can pose a major threat to the health of patients and the society. If, for example, primarily positive research reports are taken into account, one could wrongfully conclude that a harmful drug is safe.
Leon, Bax, Karel G, Moons
openaire   +2 more sources

Publication Policy or Publication Bias?

Cancer Epidemiology, Biomarkers & Prevention, 2005
Although “a large number of studies have appeared in the literature that report associations of low penetrance genetic variants with disease,” as suggested in the recent CEBP editorial ([1][1]), hardly any of these reports have been translated into solid results by replication studies, at ...
Graham, Byrnes   +3 more
openaire   +2 more sources

Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics

The American Economic Review, 2020
The credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over
A. Brodeur, Nikolai Cook, A. Heyes
semanticscholar   +1 more source

Estimating the Armington elasticity: The importance of study design and publication bias

, 2020
A key parameter in international economics is the elasticity of substitution between domestic and foreign goods, also called the Armington elasticity. Yet estimates vary widely. We collect 3524 reported estimates of the elasticity, construct 32 variables
Josef Bajzík   +3 more
semanticscholar   +1 more source

Publication Bias

Educational Evaluation and Policy Analysis, 2012
This article offers three contributions for conducting meta-analytic reviews in education research. First, we review publication bias and the challenges it presents for meta-analytic researchers. Second, we review the most recent and optimal techniques for evaluating the presence and influence of publication bias in meta-analyses.
George C. Banks   +2 more
openaire   +1 more source

P-value driven methods were underpowered to detect publication bias: analysis of Cochrane review meta-analyses.

Journal of Clinical Epidemiology, 2019
OBJECTIVE To investigate the effect of number of studies in a meta-analysis on the detection of publication bias using p-value driven methods. METHODS The proportion of meta-analyses detected by Egger's, Harbord's, Peters', and Begg's tests to have ...
L. Furuya-Kanamori   +6 more
semanticscholar   +1 more source

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