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A comparison of methods to detect publication bias in meta‐analysis

2001· article· en· 1,297 citations· W2157347940 on OpenAlex· 10.1002/sim.698

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

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Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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Opus teacher head0.895
GPT teacher head0.682
Teacher spread
0.213 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Meta-analyses are subject to bias for many of reasons, including publication bias. Asymmetry in a funnel plot of study size against treatment effect is often used to identify such bias. We compare the performance of three simple methods of testing for bias: the rank correlation method; a simple linear regression of the standardized estimate of treatment effect on the precision of the estimate; and a regression of the treatment effect on sample size. The tests are applied to simulated meta-analyses in the presence and absence of publication bias. Both one-sided and two-sided censoring of studies based on statistical significance was used. The results indicate that none of the tests performs consistently well. Test performance varied with the magnitude of the true treatment effect, distribution of study size and whether a one- or two-tailed significance test was employed. Overall, the power of the tests was low when the number of studies per meta-analysis was close to that often observed in practice. Tests that showed the highest power also had type I error rates higher than the nominal level. Based on the empirical type I error rates, a regression of treatment effect on sample size, weighted by the inverse of the variance of the logit of the pooled proportion (using the marginal total) is the preferred method.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Statistics in Medicine
Topic
Meta-analysis and systematic reviews
Field
Decision Sciences
Canadian institutions
McMaster University
Funders
Keywords
StatisticsPublication biasFunnel plotSample size determinationMeta-analysisType I and type II errorsNominal levelLinear regressionMathematicsEconometricsCensoring (clinical trials)Logistic regressionMeta-regressionStatistical powerLogitConfidence intervalMedicine
Has abstract in OpenAlex
yes