Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/266279 
Year of Publication: 
2021
Citation: 
[Journal:] Statistics in Transition New Series [ISSN:] 2450-0291 [Volume:] 22 [Issue:] 4 [Publisher:] Exeley [Place:] New York [Year:] 2021 [Pages:] 1-17
Publisher: 
Exeley, New York
Abstract: 
A study that would otherwise be eligible is commonly excluded from a meta-analysis when the standard error of its treatment-effect estimator, or the estimate of the variance of the outcomes, is not reported and cannot be recovered from the available information. This is wasteful when the estimate of the treatment effect is reported. We assess the loss of informa tion caused by this practice and explore methods of imputation for the missing variance. The methods are illustrated on two sets of examples, one constructed specifically for illustration and another based on a published systematic review.
Subjects: 
empirical Bayes
imputation
meta-analysis
missing value
sensitivity analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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