What Works?: Selectivity Models and Meta-Analysis

Copas, J. B.

doi:10.1111/1467-985x.00123

Cited by 159 publications

(187 citation statements)

References 27 publications

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“…As a final note to the issue of funnel plot asymmetry and publication bias, it is worth mentioning the copas package ), which can be used together with the meta package (Schwarzer 2010) and provides additional methods for modeling and adjusting for bias in a meta-analysis via selection models (Copas 1999;Copas andShi 2000, 2001).…”

Section: Trim and Fill Methodsmentioning

confidence: 99%

Conducting Meta-Analyses inRwith themetaforPackage

Viechtbauer¹

2010

J. Stat. Soft.

14,346

11,303

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The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed-and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for metaanalyses of 2 × 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.

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Section: Trim and Fill Methodsmentioning

confidence: 99%

Conducting Meta-Analyses inRwith themetaforPackage

Viechtbauer¹

2010

J. Stat. Soft.

14,346

11,303

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“…Many of the sophisticated modelling methods were discussed in depth in the 2000 HTA report 2 and in a review article by Sutton et al 483 These methods are usually based on weighted distribution theory derived from both classical 338,[484][485][486][487][488][489][490][491][492] or Bayesian [493][494][495][496][497] perspectives. There are two aspects to the selection models that use weighted distribution theory: an effect size model, which specifies what the distribution of the effect size estimate would be if there were no selection, and the selection model, which specifies how this effect size distribution is modified by the selection process.…”

Section: Sophisticated Modelling Methodsmentioning

confidence: 99%

“…482 Therefore, it has been recognised that weight function models should be used to conduct sensitivity analyses, rather than to provide a single 'correct' estimate by adjusting for the assumed selection bias. 482,499 A sensitivity analysis method using weight function for assessing the impact of publication bias has been proposed by Copas et al 482,489,500 The probability of study selection is assumed to be associated with estimated effect sizes and corresponding standard errors. Then a range of plausible values for inestimable parameters can be tested using the model to provide a range of corresponding estimates on the size of bias or the number of unpublished studies, which can be used to indicate the possible impact of selection bias under different assumptions.…”

Section: Sophisticated Modelling Methodsmentioning

confidence: 99%

Dissemination and publication of research findings: an updated review of related biases

Song

Parekh²,

Hooper³

et al. 2010

Health Technol Assess

818

682

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How to obtain copies of this and other HTA programme reports An electronic version of this title, in Adobe Acrobat format, is available for downloading free of charge for personal use from the HTA website (www.hta.ac.uk). A fully searchable DVD is also available (see below).Printed copies of HTA journal series issues cost £20 each (post and packing free in the UK) to both public and private sector purchasers from our despatch agents.Non-UK purchasers will have to pay a small fee for post and packing. For European countries the cost is £2 per issue and for the rest of the world £3 per issue. How to order:-fax (with credit card details) -post (with credit card details or cheque) -phone during office hours (credit card only).Additionally the HTA website allows you to either print out your order or download a blank order form. Contact details are as follows:Synergie UK (HTA Department) Digital House, The Loddon Centre Wade Road Basingstoke Hants RG24 8QW Email: orders@hta.ac.uk Tel: 0845 812 4000 -ask for 'HTA Payment Services' (out-of-hours answer-phone service) Fax: 0845 812 4001 -put 'HTA Order' on the fax header Payment methods Paying by chequeIf you pay by cheque, the cheque must be in pounds sterling, made payable to University of Southampton and drawn on a bank with a UK address. Paying by credit cardYou can order using your credit card by phone, fax or post. SubscriptionsNHS libraries can subscribe free of charge. Public libraries can subscribe at a reduced cost of £100 for each volume (normally comprising 40-50 titles). The commercial subscription rate is £400 per volume (addresses within the UK) and £600 per volume (addresses outside the UK). Please see our website for details. Subscriptions can be purchased only for the current or forthcoming volume. How do I get a copy of HTA on DVD?Please use the form on the HTA website (www.hta.ac.uk/htacd/index.shtml). HTA on DVD is currently free of charge worldwide.The website also provides information about the HTA programme and lists the membership of the various committees. HTA NIHR Health Technology Assessment programmeT he Health Technology Assessment (HTA) programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care. The research findings from the HTA programme directly influence decision-making bodies such as the National Institute for Health and Clinical Excellence (NICE) and the National Screening Committee (NSC). HTA findings also help to improve the quality of clinical practice in the NHS indirectly in that they form a key component of the 'National Knowledge Service'. The HTA programme is needs led in that it fills gaps in the evidence needed by the NHS. There are three routes to the start of project...

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“…For a half-century, medical researchers, as well as some economists have expressed concerns about the detrimental effects of publication selection (Sterling, 1959;Tullock, 1959;Feige, 1975;Rosenthal, 1979;Lovell, 1983;Begg and Berlin, 1988;DeLong and Lang, 1992;Card and Krueger, 1995;Sterling, Rosenbaum and Weinkam, 1995;Copas, 1999). Publication selection bias is widely acknowledged as a threat to scientific practice and statistical inference.…”

Section: Publication Selectionmentioning

confidence: 99%

Publication selection in health policy research: The winner's curse hypothesis

Costa‐Font

McGuire²,

Stanley³

2013

Health Policy

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There is a widely discussed problem of publication bias in medical and health services research. Where quantitative effects form the basis of a publication a 'winner's curse' curse may apply. This phenomenon may occur as prospective authors of research papers compete by reporting 'more extreme and spectacular results' in order to increase the chances of their paper being accepted for publication. This paper examines this phenomenon using quantitative findings on income and price elasticities as reported in health economics research. We find robust statistical evidence that higher-impact journals preferentially report larger empirical estimates of these elasticities. That is, we find robust evidence of a winner's curse hypothesis contributing to the existence of publication bias found in both the income and the price elasticities of health care and drugs, as well as value of life research.2

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What Works?: Selectivity Models and Meta-Analysis

Cited by 159 publications

References 27 publications

Conducting Meta-Analyses inRwith themetaforPackage

Conducting Meta-Analyses inRwith themetaforPackage

Dissemination and publication of research findings: an updated review of related biases

Publication selection in health policy research: The winner's curse hypothesis

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