Results 31 to 40 of about 3,279,698 (336)

Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.

open access: yesPsychological methods, 2022
Meta-analysis is an important quantitative tool for cumulative science, but its application is frustrated by publication bias. In order to test and adjust for publication bias, we extend model-averaged Bayesian meta-analysis with selection models.
Maximilian Maier   +2 more
semanticscholar   +1 more source

Publication bias in recent meta-analyses. [PDF]

open access: yesPLoS ONE, 2013
INTRODUCTION: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported.
Michal Kicinski
doaj   +1 more source

Methods for testing publication bias in ecological and evolutionary meta‐analyses

open access: yesMethods in Ecology and Evolution, 2021
Publication bias threatens the validity of quantitative evidence from meta‐analyses as it results in some findings being overrepresented in meta‐analytic datasets because they are published more frequently or sooner (e.g.
S Nakagawa   +8 more
semanticscholar   +1 more source

Is publication bias present in gastroenterological research? An analysis of abstracts presented at an annual congress [PDF]

open access: yesPeerJ, 2018
Background Publication bias is the tendency of investigators, reviewers, and editors to submit or accept manuscripts for publication based on their direction or strength of findings.
Chase Meyer   +3 more
doaj   +2 more sources

Publication and related biases in health services research: a systematic review of empirical evidence

open access: yesBMC Medical Research Methodology, 2020
Background Publication and related biases (including publication bias, time-lag bias, outcome reporting bias and p-hacking) have been well documented in clinical research, but relatively little is known about their presence and extent in health services ...
Abimbola A. Ayorinde   +6 more
doaj   +1 more source

Identification of and correction for publication bias [PDF]

open access: yesAmerican Economic Review, 2018
Some empirical results are more likely to be published than others. Selective publication leads to biased estimates and distorted inference. We propose two approaches for identifying the conditional probability of publication as a function of a study’s results, the first based on systematic replication studies and the second on meta-studies.
Andrews, Isaiah, Kasy, Maximilian
openaire   +6 more sources

Publication Bias

open access: yes, 2022
Meta-analysis is the statistical method for synthesizing studies on the same topic and is often used in clinical psychology to quantify the efficacy of treatments. A major threat to the validity of meta-analysis is publication bias, which implies that some studies are less likely to be published and are therefore less often included in a meta-analysis.
van Aert, Robbie, Niemeyer, Helen
openaire   +1 more source

Commentary on Lee & Zaryab

open access: yesEmpirical Musicology Review, 2023
The study by Lee & Zaryab (this issue) investigated whether listening to high-groove music affects how heterosexual observers rate the attractiveness of people from the opposite sex.
Olivier Senn
doaj   +1 more source

Publication Bias in Methodological Computational Research

open access: yesCancer Informatics, 2015
The problem of publication bias has long been discussed in research fields such as medicine. There is a consensus that publication bias is a reality and that solutions should be found to reduce it.
Anne-Laure Boulesteix   +2 more
doaj   +2 more sources

Investigating and dealing with publication bias and other reporting biases in meta‐analyses of health research: A review

open access: yesResearch Synthesis Methods, 2020
A P value, or the magnitude or direction of results can influence decisions about whether, when, and how research findings are disseminated. Regardless of whether an entire study or a particular study result is unavailable because investigators ...
M. Page, J. Sterne, J. Higgins, M. Egger
semanticscholar   +1 more source

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