Model-based sensitivity analysis for outcome reporting bias in the meta analysis of benefit and harm outcomes

Copas, J, Marson, A ORCID: 0000-0002-6861-8806, Williamson, P ORCID: 0000-0001-9802-6636 and Kirkham, JJ ORCID: 0000-0003-2579-9325 (2017) Model-based sensitivity analysis for outcome reporting bias in the meta analysis of benefit and harm outcomes. Statistical Methods in Medical Research, 28 (3). pp. 889-903.

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Official URL: http://dx.doi.org/10.1177/0962280217738546

Abstract

Outcome reporting bias occurs when outcomes in research studies are selectively reported, the selection being influenced by the study results. For benefit outcomes, we have shown how risk assessments using the Outcome Reporting Bias in Trials risk classification scale can be used to calculate bias-adjusted treatment effect estimates. This paper presents a new and simpler version of the benefits method, and shows how it can be extended to cover the partial reporting and non-reporting of harm outcomes. Our motivating example is a Cochrane systematic review of 12 studies of Topiramate add-on therapy for drug-resistant partial epilepsy. Bias adjustments for partially reported or unreported outcomes suggest that the review has overestimated the benefits and underestimated the harms of the test treatment.

Item Type:	Article
Uncontrolled Keywords:	Outcome reporting bias, meta analysis, selective reporting, Outcome Reporting Bias in Trials classification
Depositing User:	Symplectic Admin
Date Deposited:	16 Nov 2017 09:19
Last Modified:	19 Jan 2023 06:50
DOI:	10.1177/0962280217738546
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3012277