2000
DOI: 10.1093/biostatistics/1.3.247
|View full text |Cite
|
Sign up to set email alerts
|

Meta-analysis, funnel plots and sensitivity analysis

Abstract: Publication bias is a major problem, perhaps the major problem, in meta-analysis (or systematic reviews). Small studies are more likely to be published if their results are 'significant' than if their results are negative or inconclusive, and so the studies available for review are biased in favour of those with positive outcomes. Correcting for this bias is not possible without making untestable assumptions. In this paper, a sensitivity analysis is suggested which is based on fitting a model to the funnel plo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
404
2
7

Year Published

2008
2008
2023
2023

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 399 publications
(415 citation statements)
references
References 18 publications
2
404
2
7
Order By: Relevance
“…I 2 values of >50% or Q test of P-values less than 0.01 represented significant heterogeneity. Publication bias for observational studies was evaluated using Begg's funnel plot and Egger's test (P<0.05 indicated the presence of publication bias) (24)(25)(26). A DerSimonian-Laird (D-L) random-effect model (27) was selected to calculate the pooled HRs for overall survival (OS).…”
Section: Data Collection Methodsmentioning
confidence: 99%
“…I 2 values of >50% or Q test of P-values less than 0.01 represented significant heterogeneity. Publication bias for observational studies was evaluated using Begg's funnel plot and Egger's test (P<0.05 indicated the presence of publication bias) (24)(25)(26). A DerSimonian-Laird (D-L) random-effect model (27) was selected to calculate the pooled HRs for overall survival (OS).…”
Section: Data Collection Methodsmentioning
confidence: 99%
“…Prespecified subgroup analyses were performed by (1) ethnicity; (2) anovulatory PCOS; and (3) Hardy-Weinberg equilibrium (HWE) in the controls. Sensitivity analysis [20] was performed to assess the consistency of results and the influence of each study on the overall meta-analysis by sequential omission of individual studies. HWE was detected using the goodness-of-fit χ 2 test.…”
Section: Discussionmentioning
confidence: 99%
“…If the data were heterogeneous under the fixed effects model, a random effects model was utilized (20). Through observing asymmetry of funnel plots, publication bias was evaluated qualitatively (21). In a funnel plot, larger studies that provide a more precise estimate of an intervention's effect form the spout of the funnel, whereas smaller studies with less precision form the cone end of the funnel.…”
Section: Methodsmentioning
confidence: 99%