Imputing missing standard deviations in meta-analyses can provide accurate results.

By T. Furukawa, C. Barbui, Andrea Cipriani, P. Brambilla, Norio Watanabe. Journal of Clinical Epidemiology, 2006

1,377 citations recorded by the source corpus.

Subfields: Clinical Psychology, Pharmacology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3695724f2be4e632879508648d972dedcb73a3a6

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Citations in the corpus

Root and shoot competition: a meta‐analysis (2013, methodology): “This so-called multiple imputation is the only available method that accounts for the uncertainty from the missing standard deviations and has been recommended over other imputation methods (Wiebe et al. 2006; see also Furukawa et al. 2006).”
Mindfulness-Based Stress Reduction for Stress Management in Healthy People: A Review and Meta-Analysis (2009, neutral): “26 Data that could not be aggregated in the main outcome measures and data deﬁned as secondary outcome measures were reviewed in a narrative way.”
Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration (2008, neutral): “s were known for 28 groups, could be calculated from other inferential statistics in nine comparisons (18 groups), and were imputed in 12 comparisons (24 groups) (47.38%) [”
Eco-engineering urban infrastructure for marine and coastal biodiversity: Which interventions have the greatest ecological benefit? (2018, methodology): “236 237 For studies that did not present the variance between replicates, we substituted in the 238 maximum standard deviation from studies on the same intervention (Furukawa et al. 2006; 239 Strain et al. 2014).”
Unpacking Postharvest Losses in Sub-Saharan Africa: A Meta-Analysis (2015, positive): “Also, studies that provided multiple datasets from which a SD could be computed were considered (Furukawa, Barbui, Cipriani, Brambilla, & Watanabe, 2006).”
The effect of exposure to sexual appeals in advertisements on memory, attitude, and purchase intention: a meta-analytic review (2018, methodology): “For the six studies that did not provide standard deviations or univariate F values, we imputed the mean of the standard deviations from all other studies reporting that outcome variable and that also used the same type of scale (Furukawa et al. 2006).”