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ShareScore release 0.9.0
Dataset results
21 results for “publication bias”
Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias
<p>Data for our article "<strong>Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias</strong>" by Brlík et al. </p>
Table 2. Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).
<p>Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project’s Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).</p>
Toileting behaviours of the UK public: insights for reducing gender bias wastewater-based epidemiology sampling strategies
<p>Cross-sectional survey results from a toileting behaviour survey conducted between the 27th to the 28th of June 2022. Participants (<em>n</em> = 2109) were aged 18 years or older and were living in the UK. The survey consisted of 17 closed-ended questions, with 7 of the questions addressing specific demographic topics and 10 questions addressed toileting behaviour. The questionnaire was designed by a team consisting of environmental microbiologists, public health specialists, wastewater-based epidemiologists, and social scientists, based on the study objectives and incorporating information from previous studies on the same topic. First, self-report questions were asked on typical frequency of urination and defecation, followed by self-reports of frequency of urination and defecation at a variety of locations including at home, at work, educational buildings, transport hubs, and in public toilets. The comfort in urination/defecation at these locations for defecation and urination was also measured. Other questions about toileting behaviour and health monitoring were measured by statements with a 5-point Likert scale (e.g., strongly disagree to strongly agree). </p>
A Skeptic's Guide to Open Science: Steven Novella on tackling biases, publication noise, and pseudoscience
<p><strong>Episode Summary: </strong></p> <p>Our guest this week is the influential skeptic Professor Steven Novella who is the producer and co-host of the very successful podcast A Skeptic's Guide to the Universe and author of a book by the same name. Novella is also an American clinical neurologist and assistant professor at Yale University School of Medicine. In this episode he talks to us about his views on how best to promote Open Science in medicine, the challenges of creating a new publication method, and the importance of communicating science to the public. </p> <p><strong>Links:</strong></p> <p><a href="https://www.theskepticsguide.org/podcasts">A Skeptic's Guide to the Universe Podcast</a></p> <p><a href="https://www.theskepticsguide.org/our-book">A Skeptic's Guide to the Universe: How to Know What’s Really Real in a World Increasingly Full of Fake Book</a></p> <p><em>Steven Novella:</em></p> <ul> <li><a href="https://twitter.com/stevennovella?lang=en">Twitter</a></li> <li><a href="https://medicine.yale.edu/neurology/people/steven_novella.profile">Yale Profile</a></li> </ul> <p><strong>Episode Quotes:</strong></p> <p>"They are uncomfortable with anything that is in and of itself pseudoscience because they think it taints them"</p> <p>"It doesn't really matter what you say your priorities are, your priorities are whatever it is that you promote people for"</p> <p>"We have an opportunity to completely rethink how we publish science"</p>
Figure S1. Tear break-up time value in hyaluronic acid (HA) group and non-HA group after excluding the source of publication bias
<p>Figure S1. Tear break-up time value in hyaluronic acid (HA) group and non-HA group after excluding the source of publication bias <br> </p>
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
Purpose: This retrospective cross-sectional study aimed to identify opportunities for improvement in food and nutrition research by examining risk of bias (ROB) domains. Methods: Rating were extracted from critical appraisal records for 5675 studies used in systematic reviews conducted by three organizations. Variables were as follows: ROB domains defined by the Cochrane Collaboration (Selection, Performance, Detection, Attrition, and Reporting), publication year, research type (intervention or observation) and specific design, funder, and overall quality rating (positive, neutral, or negative). Appraisal instrument questions were mapped to ROB domains. The kappa statistic was used to determine consistency when multiple ROB ratings were available. Binary logistic regression and multinomial logistic regression were used to predict overall quality and ROB domains. Findings: Studies represented a wide variety of research topics (clinical nutrition, food safety, dietary patterns, and dietary supplements) among 15 different research designs with a balance of intervention (49%) and observation (51%) types, published between 1930 and 2015 (64% between 2000-2009). Duplicate ratings (10%) were consistent (k=0.86-0.94). Selection and Performance domain criteria were least likely to be met (57.9% to 60.1%). Selection, Detection, and Performance ROB ratings predicted neutral or negative quality compared to positive quality (p<0.001). Funder, year, and research design were significant predictors of ROB. Some sources of funding predicted increased ROB (p<0.001) for Selection (Interventional: industry only and none/not reported; Observational: other only and none/not reported) and Reporting (Observational: university only and other only). Reduced ROB was predicted by combined and other-only funding for intervention research (p<0.005). Performance ROB domain ratings started significantly improving in 2000; others improved after 1990 (p<0.001). Research designs with higher ROB were nonrandomized intervention and time series designs compared to RCT and prospective cohort designs respectively (p<0.001). Conclusions: Opportunities for improvement in food and nutrition research are in the Selection, Performance, and Detection ROB domains.
Table S1: Publication bias and heterogeneity test results among studies in overall and subgroup analyses
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MIdAS bias adjustment of extremes using Theil-Sen extrapolation: Data and plotting scripts for GMD-publication
<p>When bias adjusting climate model data using quantile mapping approaches, one needs to prescribe what to do at the tails of the distribution, where a larger range of data is likely encountered outside the calibration period. The end results is highly dependent on the method used. For the current study, submitted to the journal Geoscientific Model Development, under the name 'Robust handling of extremes in quantile mapping - "Murder your darlings"' by Berg et al. (2024), the MIdAS bias adjustment method is evaluated and extended with additional functionality to deal with issues with bias adjustment of extreme precipitation. This entry contains data for the annual precipitation sums, and annual maximum daily precipitation, for a domain over Scandinavia, including a reference data set and a large ensemble of Euro-CORDEX regional climate models before and after bias adjustment using a range of experiments, as well as scripts for analysing the data and producing the figures of the paper. Further, the entry contains the daily timeseries for the reference and climate models needed to repeat all the experiments in the paper, along with the published code for MIdAS. The readme.txt documents provides a guide to structure the data, perform the experiments and to reproduce the plots of the paper.</p>
Aggregated Spatial Data by province GPKG Format | Biodiversity Publication Bias Compromises Setting Conservation Priorities
<p>Result of running https://github.com/raffael-hickisch/provincer</p>
Studies on the side effects of methylphenidate in adults diagnosed with ADHD. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (1 - strong, 2 - moderate, 3 - weak).
<p>The data set contains the analysis of adult studies on ADHD with respect on side effects of methylphenidate. </p>
HablaRÉ: Self-applied Online Training for Correcting Emotional Reasoning Biases in Public Speaking Anxiety.
ClinicalTrials.gov study NCT07051135. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
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Data from: Exploring media representation of the exotic pet trade, with a focus on welfare: Taxonomic, framing, and language biases in peer-reviewed publications and newspaper articles
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A Field Experiment on Ethnic Bias in Public Housing Practices in Sweden
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Figure S1. Funnel Plot of Logit Transformation of Proportions Against its Standard Errors for Detecting Publication Bias
<p>Figure S1. Funnel Plot of Logit Transformation of Proportions Against its Standard Errors for Detecting Publication Bias, Provided as Supplementary Material for Assessing Publication Bias in the Study of Worldwide Prevalence of Internet Addiction Among Medical Students by Zhandos Salpynov and Co-Authors.</p> <p> </p>
Supplementary material 2 from: Reyes-Puig C, Mancero E (2022) Beyond the species name: an analysis of publication trends and biases in taxonomic descriptions of rainfrogs (Amphibia, Strabomantidae, Pristimantis). ZooKeys 1134: 73-100. https://doi.org/10.3897/zookeys.1134.91348
Complete translation of the manuscript
Supplementary material 1 from: Reyes-Puig C, Mancero E (2022) Beyond the species name: an analysis of publication trends and biases in taxonomic descriptions of rainfrogs (Amphibia, Strabomantidae, Pristimantis). ZooKeys 1134: 73-100. https://doi.org/10.3897/zookeys.1134.91348
Complete database of Pristimantis descriptions
Online Psychotherapy for Emotional Reasoning Bias in Public Speaking Anxiety
ClinicalTrials.gov study NCT06552273. IPD Sharing: NO. Countries: 0. Publications: 4.
Data from: A problem of bias and response heterogeneity, in Standing With Giants: A Collection of Public Health Essays in Memoriam to Dr. Elizabeth M. Whelan
There is extensive literature on the question, "Does air quality have health effects?" For example, Google Scholar gives 199,000 hits for ("mortality" and "air pollution"). See Health Effects Institute (2010) and editorial by Brauer and Mancini (2014), for example. One paper that appeared in 1993 has over 6,000 citations. The vast majority of these papers find a positive association between air quality health effects (death). A few papers make the case that if potential bias is carefully taken into account then there is no association between air quality and deaths, e.g. Chay et al. (2003), Enstrom (2005), Janes et al. (2007), Greven et al. (2011), Cox et al. (2013). Clearly the weight of evidence is for a positive association, but for any particular type of claim, logically it takes only one true negative to negate all the positives associations with respect to causation for that claim. A real, causative claim should always be detected in a well-designed and properly run experiment. What are some of the factors that lead to these discordant literature results?
Data from: A problem of bias and response heterogeneity, in Standing With Giants: A Collection of Public Health Essays in Memoriam to Dr. Elizabeth M. Whelan
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.