Ensor, J ORCID: 0000-0001-7481-0282, Burke, DL, Snell, KIE, Hemming, K and Riley, RD ORCID: 0000-0001-8699-0735 (2018) Simulation-based power calculations for planning a two-stage individual participant data meta-analysis. BMC Medical Research Methodology, 18 (1). 41 -?. ISSN 1471-2288

[img]
Preview
Text
20180611_ensor_s12874-018-0492-z.pdf - Published Version
Available under License Creative Commons Attribution.

Download (931kB) | Preview

Abstract

BACKGROUND: Researchers and funders should consider the statistical power of planned Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming and costly. We propose simulation-based power calculations utilising a two-stage framework, and illustrate the approach for a planned IPD meta-analysis of randomised trials with continuous outcomes where the aim is to identify treatment-covariate interactions.

METHODS: The simulation approach has four steps: (i) specify an underlying (data generating) statistical model for trials in the IPD meta-analysis; (ii) use readily available information (e.g. from publications) and prior knowledge (e.g. number of studies promising IPD) to specify model parameter values (e.g. control group mean, intervention effect, treatment-covariate interaction); (iii) simulate an IPD meta-analysis dataset of a particular size from the model, and apply a two-stage IPD meta-analysis to obtain the summary estimate of interest (e.g. interaction effect) and its associated p-value; (iv) repeat the previous step (e.g. thousands of times), then estimate the power to detect a genuine effect by the proportion of summary estimates with a significant p-value.

RESULTS: In a planned IPD meta-analysis of lifestyle interventions to reduce weight gain in pregnancy, 14 trials (1183 patients) promised their IPD to examine a treatment-BMI interaction (i.e. whether baseline BMI modifies intervention effect on weight gain). Using our simulation-based approach, a two-stage IPD meta-analysis has < 60% power to detect a reduction of 1 kg weight gain for a 10-unit increase in BMI. Additional IPD from ten other published trials (containing 1761 patients) would improve power to over 80%, but only if a fixed-effect meta-analysis was appropriate. Pre-specified adjustment for prognostic factors would increase power further. Incorrect dichotomisation of BMI would reduce power by over 20%, similar to immediately throwing away IPD from ten trials.

CONCLUSIONS: Simulation-based power calculations could inform the planning and funding of IPD projects, and should be used routinely.

Item Type: Article
Additional Information: This is the final published version of the article (version of record). It first appeared online via BioMed Central at http://doi.org/10.1186/s12874-018-0492-z - please refer to any applicable terms of use of the publisher.
Divisions: Faculty of Medicine and Health Sciences > Primary Care Health Sciences
Related URLs:
Depositing User: Symplectic
Date Deposited: 11 Jun 2018 11:00
Last Modified: 13 Aug 2018 10:38
URI: http://eprints.keele.ac.uk/id/eprint/5007

Actions (login required)

View Item View Item