2018
DOI: 10.1002/sim.8013
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One‐sample aggregate data meta‐analysis of medians

Abstract: An aggregate data meta‐analysis is a statistical method that pools the summary statistics of several selected studies to estimate the outcome of interest. When considering a continuous outcome, typically each study must report the same measure of the outcome variable and its spread (eg, the sample mean and its standard error). However, some studies may instead report the median along with various measures of spread. Recently, the task of incorporating medians in meta‐analysis has been achieved by estimating th… Show more

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Cited by 120 publications
(151 citation statements)
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“…They include, for example, extending the data transformation methods from normal data to non-normal data, [13][14][15] or developing new meta-analytical methods to directly synthesize the data with the five-number summary. 16,17 We note that the proposed method in this article can also be readily extended to non-normal data, yet further work is needed to assess the effectiveness of these new estimators when included in a meta-analysis.…”
Section: Discussionmentioning
confidence: 99%
“…They include, for example, extending the data transformation methods from normal data to non-normal data, [13][14][15] or developing new meta-analytical methods to directly synthesize the data with the five-number summary. 16,17 We note that the proposed method in this article can also be readily extended to non-normal data, yet further work is needed to assess the effectiveness of these new estimators when included in a meta-analysis.…”
Section: Discussionmentioning
confidence: 99%
“…These methods have been shown to perform better than transformation-based approaches, where the sample mean and its sampling variance are estimated from median data [17]. We constructed approximate 95% confidence intervals (CIs) for the pooled median using the 1 [17]. We performed stratified analysis by ventilatory support (i.e., mechanical non-invasive ventilation or tracheotomy, as reported by the identified publications) and low versus high risk of bias.…”
Section: Screening Data Extraction and Synthesismentioning
confidence: 99%
“…In this scenario, the PFS and OS curves are usually summarised by medians and accompanied by their 95% confidence interval (95% CI), as is the case of the present review. Following the method used by McGrath et al, pooled estimates were obtained as the median of the study-specific PFS and OS medians (22), whereas the corresponding 95%CIs were obtained as the 1/2 ± min 1/2, z 0.975 /(2 √ K) quantiles of the k observed study medians, with z α the α quantile of the standard normal distribution.…”
Section: Discussionmentioning
confidence: 99%