Trim and fill: A simple funnel - plot based method of testing and adjusting
for publication bias in meta - analysis
We suspect that sex differences do emerge in these contexts, although there have been no large scale meta - analyses of this topic that have accounted
for publication bias.
Abstract: Using the p - curve method, we tested
for publication bias in research showing that sequential presentation of lineup suspects lowers the proportion of mistaken identifications in target - absent lineups.
Funnel plot, Begg's test and Egger's test were used to check
for publication bias.
Not exact matches
If it rates articles and
publications for accuracy, it could make those scores public to demonstrate that they aren't systematically
biasing things toward any particular ideology.
Funnel plot
for studies of the association between milk intake and all - cause mortality to illustrate the presence of
publication bias (n = 62,779; no.
How do we know that the failure to publish the MANA statistics
for the past 5 years was
publication bias?
This is true
for a number of reasons, one of which is the well known
publication bias in favor of studies that conclude in favor of a new hypothesis.
Funnel plots and tests
for small study
bias and
publication bias were carried out
for all associations.
Or
for experiments in a field that is highly politicised [sic] or
biased, so that finding the «wrong result» under the status quo could delay
publication of your paper
for months or even years.»
One 2008 study,
for instance, analyzed 16 papers investigating
publication bias in randomized clinical trials and found clear indications of selective
publication.
Psychologists also tackled problems of
publication bias head - on, he said, referring to a tendency
for studies that are new and flashy to get more space in the journals than replications of previous work; that's the case even though replications are what show that science is strong.
Approximately equal numbers of women and men enter and graduate from medical school in the United States and United Kingdom.1 2 In northern and eastern European countries such as Russia, Finland, Hungary, and Serbia, women account
for more than 50 % of the active physicians3; in the United Kingdom and United States, they represent 47 % and 33 % respectively.4 5 Even in Japan, the nation in the Organisation
for Economic Co-operation and Development with the lowest percentage of female physicians, representation doubled between 1986 and 2012.3 6 However, progress in academic medicine continues to lag, with women accounting
for less than 30 % of clinical faculty overall and
for less than 20 % of those at the highest grade or in leadership positions.7 - 9 Understanding the extent to which this underrepresentation affects high impact research is critical because of the implicit
bias it introduces to the research agenda, influencing future clinical practice.10 11 Given the importance of
publication for tenure and promotion, 12 women's
publication in high impact journals also provides insights into the degree to which the gender gap can be expected to close.
Publication bias in clinical trials is the most thoroughly researched aspect of research integrity — having been discussed in detail
for over 30 years.
Clinical trial transparency could really be seen as a model
for how we might tackle other areas of research integrity and
publication bias.
This means that studies that show there is no difference in anti-depressant medication and placebo is left out of the body of literature, favouring a
bias for positive
publications,
publications that find anti-depressants work.
aSummary effect size is not shown owing to concern about
publication bias for this outcome.
There was little evidence
for either significant heterogeneity across included studies (P =.31) or
publication bias (P =.57
for Egger test).
I'm talking about Michael Winerip who, to the best of my knowledge, is the single worst education reporter in America, infamous
for biased hatchet jobs on NCLB, Bloomberg and Klein's reforms, and anything else associated with genuine reform (if anyone is aware of someone worse at a major
publication, please let me know — maybe I'll start a Reporter Hall of Shame...)
I also should note that researchers in this study clearly conducted this study with similar a priori conclusions in mind (i.e., that the Common Core should be saved / promoted); hence, future peer review of this piece may be out of the question as the
bias evident in the sets of findings would certainly be a «methodological issue,» again, likely preventing a peer - reviewed
publication (see,
for example, the a priori conclusion that «[this] study highlights an important advantage of having a common set of standards and assessments across multiple states,» in the abstract (p. 3).
But I have a feeling the art market is going to be
biased for a long time, despite the heartening progress that 20th - and 21st - century women artists have made in university galleries, in
publications, and in museums.
My impression from outside is that the statistical analyses are weak, the climate models are simplistic and overinfluenced by selection and
publication biases, the theoretic underpinning is extraordinarily shakey and the belief engine is overrevved with the popularity of certain «star performers» and the Romantic desire
for a Paradise Lost that never existed.
«The
publication is deemed clearly contrary to the standards of good scientific practice... there has been such perversion of the scientific message in the form of systematically
biased representation that the objective criteria
for upholding scientific dishonesty... have been met.»
Despite our sincerest aim of using science as an objective and unbiased tool to record natural history, we are reminded that science is a human construct, often driven by human needs to tell a compelling story, to reinforce the positive, and to compete
for limited resources —
publication trends and communication
bias is a proof of that.
This result opposes findings by Michaels (2008) and Reckova and Irsova (2015), which both found
publication bias in the global climate change literature, albeit with a smaller sample size
for their meta - analysis and in other sub-disciplines of climate change science.
For example, our results corroborate with others by showing that high impact journals typically report large effects based on small sample sizes (Fraley and Vazire 2014), and high impact journals have shown
publication bias in climate change research (Michaels 2008, and further discussed in Radetzki 2010).
Curry provides a highly
biased and skewed overview of climate sensitivity studies, which makes sense
for publication in the Wall Street Journal.
I have seen first hand,
biases in the process of selecting articles
for publication.
I wouldn't doubt that there would be influences and
biases in the process by which journal articles are selected
for publication — my doubt is when overly broad or categorical statements are made about the vast «asymmetry.»
This is one area, where the scientific
publications are often written in a way that appears to give justification
for thinking that they are
biased.
Positive results and
publication bias have been well documented
for at least 20 years.
Kerr references a recent draft article by Professor Minna Kotkin which concludes that «a disproportionate number of selected articles were authored by men» and that journals must reexamine their selection processes to eliminate any
bias when it comes to choosing articles
for publication.
For example, LSUC ignores the problem and its duties as set out in s. 4.2 of the (Ontario) Law Society Act, while «fast - tracking» the Alternative Business Structures issue (ABS issue) to the quick creation of: (1) an ABS Committee (2) a (
biased) ABS Discussion Paper written by the Committee; (3) the online
publication of the responses thus obtained; (4) the online
publication of a summary of those responses — all done by the work of those self - interested benchers who have campaigned hard to have ABSs made legal; and (5) a proposed vote in 2016 to determine the law society's position as to making ABSs legal.
The Court of Appeal held that Mr Justice Eady, ironically the subject of a recent coruscating attack by Daily Mail editor Paul Dacre
for anti-media
bias, had been right to refuse an injunction restraining
publication by Private Eye.
The quality of evidence
for network estimates of the primary outcomes will be assessed with the GRADE framework, which characterises the quality of a body of evidence on the basis of the study limitations, imprecision, heterogeneity or inconsistency, indirectness and
publication bias.
We found significant differences between published and unpublished studies (r = 0.19
for published studies versus r = 0.13
for unpublished studies; Z = -4.5, p < 0.001; Table 1), which is in accordance with previous findings with regard to
publication bias (Van IJzendoorn 1998).
The tendency of journals to accept papers that report strong significant associations, referred to as
publication bias, may have implications
for the final conclusions of the meta - analysis (Rosenthal 1991; Van IJzendoorn 1998).